M. Brusco

发表

Solving personnel tour scheduling problems using the dual all-integer cutting plane

M. Brusco, 1998 .

A simulated annealing approach to the cyclic staff-scheduling problem

Larry W. Jacobs, Michael J. Brusco, L. W. Jacobs, 1993 .

Branch-and-Bound Applications in Combinatorial Data Analysis

M. Brusco, S. Stahl, 2005 .

Staffing a Multiskilled Workforce with Varying Levels of Productivity: An Analysis of Cross‐training Policies*

Michael J. Brusco, T. R. Johns, Tony R. Johns, 1998 .

Cross‐utilization of a two‐skilled workforce

T. R. Johns, M. Brusco, J. H. Reed, 1998 .

Heuristic Implementation of Dynamic Programming for Matrix Permutation Problems in Combinatorial Data Analysis

M. Brusco, S. Stahl, Hans-Friedrich Köhn, 2008 .

A variable neighborhood search method for generalized blockmodeling of two-mode binary matrices

M. Brusco, D. Steinley, 2007 .

Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis

M. Brusco, D. Steinley, Renu Singh, 2009 .

A Repetitive Branch-and-Bound Procedure for Minimum Within-Cluster Sums of Squares Partitioning

M. Brusco, 2006, Psychometrika.

ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses

M. Brusco, J. Cradit, 2005 .

The p-median model as a tool for clustering psychological data.

M. Brusco, D. Steinley, Hans-Friedrich Köhn, 2010, Psychological methods.

A variable-selection heuristic for K-means clustering

M. Brusco, J. Cradit, 2001 .

Emergent clustering methods for empirical OM research

Michael J. Brusco, J. Dennis Cradit, Douglas Steinley, 2012 .

Two Algorithms for Relaxed Structural Balance Partitioning: Linking Theory, Models, and Data to Understand Social Network Phenomena

M. Brusco, D. Steinley, P. Doreian, 2011 .

Inducing a blockmodel structure of two-mode binary data using seriation procedures

M. Brusco, D. Steinley, 2006 .

Cautionary Remarks on the Use of Clusterwise Regression

Gavin L. Fox, M. Brusco, D. Steinley, 2008, Multivariate behavioral research.

K-Means Clustering and Mixture Model Clustering: Reply to McLachlan (2011) and Vermunt (2011)

M. Brusco, D. Steinley, 2011 .

Clustering Qualitative Data Based on Binary Equivalence Relations: Neighborhood Search Heuristics for the Clique Partitioning Problem

M. Brusco, Hans-Friedrich Köhn, 2009 .

K-balance partitioning: an exact method with applications to generalized structural balance and other psychological contexts.

M. Brusco, D. Steinley, 2010, Psychological methods.

Evaluating mixture modeling for clustering: recommendations and cautions.

M. Brusco, D. Steinley, 2011, Psychological methods.

Choosing the number of clusters in Κ-means clustering.

M. Brusco, D. Steinley, 2011, Psychological methods.

Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures

M. Brusco, D. Steinley, 2008 .

A Simulated Annealing Heuristic for a Bicriterion Partitioning Problem in Market Segmentation

Michael J. Brusco, Stephanie Stahl, J. Dennis Cradit, 2002 .

Morph-Based Local-Search Heuristics for Large-Scale Combinatorial Data Analysis

M. Brusco, 1999 .

Clustering binary data in the presence of masking variables.

M. Brusco, 2004, Psychological methods.

Note: A local-search heuristic for large set-covering problems

L. W. Jacobs, M. Brusco, 1995 .

Integer Programs for One- and Two-Mode Blockmodeling Based on Prespecified Image Matrices for Structural and Regular Equivalence.

M. Brusco, D. Steinley, 2009, Journal of mathematical psychology.

A Tabu-Search Heuristic for Deterministic Two-Mode Blockmodeling of Binary Network Matrices

M. Brusco, D. Steinley, 2011, Psychometrika.

An enhanced branch-and-bound algorithm for a partitioning problem.

M. Brusco, 2003, The British journal of mathematical and statistical psychology.

K-medoids inverse regression

M. Brusco, D. Steinley, Jordan E. Stevens, 2018, Communications in Statistics - Theory and Methods.

Optimal Partitioning of a Data Set Based on the p-Median Model

M. Brusco, Hans-Friedrich Köhn, 2008 .

Gaussian model‐based partitioning using iterated local search

M. Brusco, D. Steinley, J. Cradit, 2017, The British journal of mathematical and statistical psychology.

An exact algorithm for maximizing grouping efficacy in part–machine clustering

M. Brusco, 2015 .

Marketing's SEM based nomological network: Constructs and research streams in 1987–1997 and in 1998–2008

Meredith E. David, M. Brusco, Edward Ramírez, 2013 .

Supply Chain and Marketing Integration: Tension in Frontline Social Networks

Hannah J. Stolze, LaDonna M. Thornton, M. Brusco, 2018, Journal of Supply Chain Management.

Affinity propagation: An exemplar‐based tool for clustering in psychological research

M. Brusco, D. Steinley, J. Cradit, 2019, The British journal of mathematical and statistical psychology.

A branch-and-bound algorithm for fitting anti-robinson structures to symmetric dissimilarity matrices

M. Brusco, 2002 .

Service Sweethearting: Its Antecedents and Customer Consequences

Michael J. Brusco, Clay M. Voorhees, Michael K. Brady, 2012 .

A note on the expected value of the Rand index

Douglas Steinley, Michael J Brusco, M. Brusco, 2018, The British journal of mathematical and statistical psychology.

Cluster analysis in empirical OM research: survey and recommendations

Michael J. Brusco, Douglas Steinley, J. Dennis Cradit, 2017 .

Multiobjective Blockmodeling for Social Network Analysis

Patrick Doreian, Cinthia B. Satornino, Douglas Steinley, 2013, Psychometrika.

Model selection for minimum-diameter partitioning.

M. Brusco, D. Steinley, 2014, The British journal of mathematical and statistical psychology.

A note on the estimation of the Pareto efficient set for multiobjective matrix permutation problems.

M. Brusco, D. Steinley, 2012, The British journal of mathematical and statistical psychology.

Clustering, seriation, and subset extraction of confusion data.

Douglas Steinley, Michael J Brusco, M. Brusco, 2006, Psychological methods.

Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices

Michael J. Brusco, J. Dennis Cradit, M. Brusco, 2004 .

An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model?

Rick L. Andrews, Imran S. Currim, M. Brusco, 2010 .

A Method for Making Inferences in Network Analysis: Comment on Forbes, Wright, Markon, and Krueger (2017)

M. Brusco, D. Steinley, K. Sher, 2017, Journal of abnormal psychology.

Consumer knowledge discrimination

Charles F. Hofacker, M. Brusco, R. Goldsmith, 2015 .

An algorithm for extracting maximum cardinality subsets with perfect dominance or anti-Robinson structures.

M. Brusco, S. Stahl, 2007, The British journal of mathematical and statistical psychology.

Multiobjective Multidimensional (City‐Block) Scaling

M. Brusco, S. Stahl, J. Cradit, 2010 .

The effect of demand characteristics on labour scheduling methods

Michael J. Brusco, T. R. Johns, M. Brusco, 1995 .

"Money Worlds" and Wellbeing: An Empirical Test of Tatzel's Model of Consumption

M. Brusco, L. Flynn, R. Goldsmith, 2018 .

An evaluation of exact methods for the multiple subset maximum cardinality selection problem.

M. Brusco, D. Steinley, Hans-Friedrich Köhn, 2016, The British journal of mathematical and statistical psychology.

An integrated dominance analysis and dynamic programing approach for measuring predictor importance for customer satisfaction

M. Brusco, J. Cradit, Susan Brudvig, 2018, Communications in Statistics - Theory and Methods.

Weaving webs of innovation

Jeffery S. Smith, Gavin L. Fox, J. J. Cronin, 2013 .

An implicit enumeration method for an exact test of weighted kappa.

M. Brusco, D. Steinley, S. Stahl, 2008, The British journal of mathematical and statistical psychology.

Exact and approximate algorithms for part-machine clustering based on a relationship between interval graphs and Robinson matrices

M. Brusco, D. Steinley, 2007 .

Heuristic cognitive diagnosis when the Q-matrix is unknown.

M. Brusco, Chia-Yi Chiu, Hans-Friedrich Köhn, 2015, The British journal of mathematical and statistical psychology.

Ising formulations of some graph-theoretic problems in psychological research: Models and methods

M. Brusco, D. Steinley, C. Davis-Stober, 2020, Journal of Mathematical Psychology.

A comparison of logistic regression methods for Ising model estimation.

Ashley L. Watts, M. Brusco, D. Steinley, 2022, Behavior research methods.

On maximization of the modularity index in network psychometrics

Ashley L. Watts, M. Brusco, D. Steinley, 2022, Behavior Research Methods.

An Exact Algorithm for the Two-Mode KL-Means Partitioning Problem

M. Brusco, P. Doreian, 2015, Journal of Classification.

Affinity Propagation and Uncapacitated Facility Location Problems

M. Brusco, D. Steinley, 2015, Journal of Classification.

An Exact Method for Partitioning Dichotomous Items Within the Framework of the Monotone Homogeneity Model

M. Brusco, D. Steinley, Hans-Friedrich Köhn, 2015, Psychometrika.

Disentangling relationships in symptom networks using matrix permutation methods

Ashley L. Watts, M. Brusco, D. Steinley, 2021, Psychometrika.

Examining the effect of initialization strategies on the performance of Gaussian mixture modeling

Michael J. Brusco, Douglas Steinley, Emilie Shireman, 2015, Behavior Research Methods.

A Comparison of Heuristic Procedures for Minimum Within-Cluster Sums of Squares Partitioning

M. Brusco, D. Steinley, 2007 .

Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques

Michael J. Brusco, Douglas Steinley, M. Brusco, 2007, J. Classif..

Measuring Human Performance on Clustering Problems: Some Potential Objective Criteria and Experimental Research Opportunities

Michael J. Brusco, M. Brusco, 2007, J. Probl. Solving.

Using an Iterative Reallocation Partitioning Algorithm to Verify Test Multidimensionality

Michael J. Brusco, Douglas L. Steinley, M. Brusco, 2019, Journal of Classification.

A Comparison of Latent Class, K-Means, and K-Median Methods for Clustering Dichotomous Data

Douglas Steinley, Michael J Brusco, Emilie Shireman, 2017, Psychological methods.

Exemplar-Based Clustering via Simulated Annealing

Michael J. Brusco, Hans-Friedrich Köhn, M. Brusco, 2009 .

Partitioning methods for pruning the Pareto set with application to multiobjective allocation of a cross-trained workforce

Michael J. Brusco, M. Brusco, 2017, Comput. Ind. Eng..

Local Optima in Mixture Modeling

Douglas Steinley, Michael J Brusco, M. Brusco, 2016, Multivariate behavioral research.

The variance of the adjusted Rand index.

Lawrence Hubert, Douglas Steinley, Michael J Brusco, 2016, Psychological methods.

Deterministic blockmodelling of signed and two-mode networks: A tutorial with software and psychological examples.

Patrick Doreian, Douglas Steinley, Michael Brusco, 2019, The British journal of mathematical and statistical psychology.

Partitioning signed networks using relocation heuristics, tabu search, and variable neighborhood search

Patrick Doreian, Michael J. Brusco, M. Brusco, 2019, Soc. Networks.

Integrating linear discriminant analysis, polynomial basis expansion, and genetic search for two-group classification

Michael J. Brusco, Roger J. Calantone, Douglas Steinley, 2019, Commun. Stat. Simul. Comput..

A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis

Michael J. Brusco, M. Brusco, 2014, Comput. Stat. Data Anal..

Exact and approximate algorithms for variable selection in linear discriminant analysis

Michael J. Brusco, Douglas Steinley, M. Brusco, 2011, Comput. Stat. Data Anal..

Detecting Clusters/Communities in Social Networks

Kathleen M Gates, Douglas Steinley, Michael J Brusco, 2018, Multivariate behavioral research.

An exact algorithm for a core/periphery bipartitioning problem

Michael J. Brusco, M. Brusco, 2011, Soc. Networks.

A comparison of 71 binary similarity coefficients: The effect of base rates

M. Brusco, D. Steinley, J. Cradit, 2021, PloS one.

An iterated local search heuristic for cell formation

Michael J. Brusco, M. Brusco, 2015, Comput. Ind. Eng..

Multicriterion Market Segmentation: A New Model, Implementation, and Evaluation

Ying Liu, Sudha Ram, Michael J. Brusco, 2010, Mark. Sci..

Principal Cluster Axes: A Projection Pursuit Index for the Preservation of Cluster Structures in the Presence of Data Reduction

Michael J. Brusco, Robert Henson, Douglas Steinley, 2012, Multivariate behavioral research.

An integrated analysis of nurse staffing and scheduling policies

Michael J. Brusco, Ray R. Venkataraman, M. Brusco, 1996 .

Constrained nurse staffing analysis

Michael J. Brusco, Michael J. Showalter, M. Brusco, 1993 .

A unified framework for market segmentation and its applications

Ying Liu, Melody Y. Kiang, Michael J. Brusco, 2012, Expert Syst. Appl..

Compact integer-programming models for extracting subsets of stimuli from confusion matrices

Michael J. Brusco, Stephanie Stahl, M. Brusco, 2001 .

A New Variable Weighting and Selection Procedure for K-means Cluster Analysis

Douglas Steinley, Michael J Brusco, M. Brusco, 2008, Multivariate behavioral research.

A simulated annealing heuristic for maximum correlation core/periphery partitioning of binary networks

Douglas Steinley, Michael Brusco, Michaela Hoffman, 2017, PloS one.

An Exact Algorithm for the Two-Mode KL-Means Partitioning Problem

Patrick Doreian, Michael J. Brusco, M. Brusco, 2015, J. Classif..

Analysis of two-mode network data using nonnegative matrix factorization

Michael J. Brusco, M. Brusco, 2011, Soc. Networks.

An Exact Algorithm for Hierarchically Well-Formulated Subsets in Second-Order Polynomial Regression

Michael J. Brusco, Douglas Steinley, J. Dennis Cradit, 2009, Technometrics.

A Note on Maximizing the Agreement Between Partitions: A Stepwise Optimal Algorithm and Some Properties

Michael J. Brusco, Douglas Steinley, Gretchen Hendrickson, 2015, J. Classif..

Critiques of network analysis of multivariate data in psychological science

S. Wasserman, M. Brusco, D. Steinley, 2022, Nature Reviews Methods Primers.

A morphing procedure to supplement a simulated annealing heuristic for cost‐ andcoverage‐correlated set‐covering problems

Michael J. Brusco, Larry W. Jacobs, L. W. Jacobs, 1999, Ann. Oper. Res..

On Fixed Marginal Distributions and Psychometric Network Models

M. Brusco, D. Steinley, 2021, Multivariate behavioral research.

On the Performance of Simulated Annealing for Large-Scale L2 Unidimensional Scaling

Michael J. Brusco, M. Brusco, 2006, J. Classif..

Cost analysis of alternative formulations for personnel scheduling in continuously operating organizations

Larry W. Jacobs, Michael J. Brusco, L. W. Jacobs, 1995 .

Solving Classic Discrete Facility Location Problems Using Excel Spreadsheets

Michael J. Brusco, M. Brusco, 2021, INFORMS Trans. Educ..

On Ising models and algorithms for the construction of symptom networks in psychopathological research.

Stanley Wasserman, Douglas Steinley, Michael J Brusco, 2019, Psychological methods.

Joint selection of variables and clusters: recovering the underlying structure of marketing data

Michael J. Brusco, J. Dennis Cradit, Susan Brudvig, 2018, Journal of Marketing Analytics.

Assigning television commercial videotapes to time slots under alternative message spacing policies

Michael J. Brusco, Renu Singh, M. Brusco, 2010 .

Amalgamation of partitions from multiple segmentation bases: A comparison of non-model-based and model-based methods

Michael J. Brusco, Rick L. Andrews, Imran S. Currim, 2010, Eur. J. Oper. Res..

Affinity Propagation and Uncapacitated Facility Location Problems

Michael J. Brusco, Douglas Steinley, M. Brusco, 2015, Journal of Classification.

A Note on Maximizing the Agreement Between Partitions: A Stepwise Optimal Algorithm and Some Properties

M. Brusco, D. Steinley, Gretchen Hendrickson, 2015, Journal of Classification.

Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value

Michael J. Brusco, J. Dennis Cradit, Armen Tashchian, 2003 .

A Binary Integer Program to Maximize the Agreement Between Partitions

Michael J. Brusco, Douglas Steinley, M. Brusco, 2008, J. Classif..

Exploring the social mechanisms for variation reduction for direct store delivery (DSD) and vendor managed inventory performance: An integrated network governance and coordination theory perspective

Michael J. Brusco, Jeffery S. Smith, Hannah J. Stolze, 2021 .

Improving Personnel Scheduling at Airline Stations

Michael J. Brusco, Larry W. Jacobs, Baoxing Tang, 1995, Oper. Res..

Personnel Tour Scheduling When Starting-Time Restrictions Are Present

Michael J. Brusco, Larry W. Jacobs, L. W. Jacobs, 1998 .

On the concordance among empirical confusion matrices for visual and tactual letter recognition

Michael J Brusco, M. Brusco, 2004, Perception & psychophysics.

Teaching Spreadsheet‐Based Analysis of Multisource Continuous Facility Location Problems

M. Brusco, 2021, Decision Sciences Journal of Innovative Education.

Deterministic Blockmodeling of Two-Mode Binary Networks Using a Two-Mode KL-Median Heuristic

Patrick Doreian, Douglas Steinley, Michaela Hoffman, 2018, J. Soc. Struct..

An Exact Algorithm for Blockmodeling of Two-Mode Network Data

Patrick Doreian, Andrej Mrvar, Michael J. Brusco, 2013 .

A Comparative Evaluation of Labor Tour Scheduling Methods

Stephen E. Bechtold, Michael J. Brusco, Michael J. Showalter, 1991 .

Comment on "Clustering by Passing Messages Between Data Points"

Hans-Friedrich Köhn, Michael J Brusco, M. Brusco, 2008, Science.

A Simulated Annealing Approach to the Solution of Flexible Labour Scheduling Problems

Larry W. Jacobs, Michael J. Brusco, L. W. Jacobs, 1993 .

Cross validation issues in multiobjective clustering.

Michael J. Brusco, Douglas Steinley, M. Brusco, 2009, The British journal of mathematical and statistical psychology.

Biclustering methods for one-mode asymmetric matrices

M. Brusco, D. Steinley, P. Doreian, 2016, Behavior research methods.

A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics.

Ashley L. Watts, M. Brusco, D. Steinley, 2022, Psychological methods.

Joint selection of variables and clusters: recovering the underlying structure of marketing data

M. Brusco, J. Cradit, Susan Brudvig, 2018, Journal of Marketing Analytics.

A note on using the adjusted Rand index for link prediction in networks

Michael J. Brusco, Douglas Steinley, Michaela Hoffman, 2015, Soc. Networks.

Optimal Models for Meal-Break and Start-Time Flexibility in Continuous Tour Scheduling

Larry W. Jacobs, Michael J. Brusco, L. W. Jacobs, 2000 .

An exact algorithm for a workforce allocation problem with application to an analysis of cross-training policies

Michael J. Brusco, M. Brusco, 2008 .

Combinatorial Data Analysis: Optimization by Dynamic Programming, by L. Hubert, P. Arabie, and J. Meulman

Michael J. Brusco, M. Brusco, 2001, J. Classif..

Disentangling relationships in symptom networks using matrix permutation methods

Ashley L. Watts, M. Brusco, D. Steinley, 2021, Psychometrika.

Logistic Regression via Excel Spreadsheets: Mechanics, Model Selection, and Relative Predictor Importance

M. Brusco, 2021, INFORMS Trans. Educ..

Scheduling advertising slots for television

M. J. Brusco, M. Brusco, 2008, J. Oper. Res. Soc..

Combining diversity and dispersion criteria for anticlustering: A bicriterion approach.

Douglas Steinley, Michael J Brusco, J Dennis Cradit, 2020, The British journal of mathematical and statistical psychology.

A real-coded genetic algorithm for two-mode KL-means partitioning with application to homogeneity blockmodeling

Patrick Doreian, Michael J. Brusco, M. Brusco, 2015, Soc. Networks.

Clusterwise p* models for social network analysis

Michael J. Brusco, Stanley Wasserman, Douglas Steinley, 2011, Stat. Anal. Data Min..

A variable neighborhood search heuristic for nonnegative matrix factorization with application to microarray data

Michael J. Brusco, Douglas Steinley, M. Brusco, 2020, Optim. Lett..

A variable neighborhood search heuristic for nonnegative matrix factorization with application to microarray data

M. Brusco, D. Steinley, 2020, Optimization Letters.

Neighborhood search heuristics for selecting hierarchically well‐formulated subsets in polynomial regression

Michael J. Brusco, Douglas Steinley, M. Brusco, 2010 .

Developing flexible personnel schedules using a microcomputer

Michael J. Brusco, Larry W. Jacobs, L. W. Jacobs, 1993 .

Biclustering methods for one-mode asymmetric matrices

Patrick Doreian, Douglas Steinley, Michael J Brusco, 2015, Behavior Research Methods.

Optimal Least-Squares Unidimensional Scaling: Improved Branch-and-Bound Procedures and Comparison to Dynamic Programming

Michael J. Brusco, Stephanie Stahl, M. Brusco, 2005 .

Identifying a reordering of rows and columns for multiple proximity matrices using multiobjective programming

M. Brusco, 2002 .

A sequential integer programming method for discontinuous labor tour scheduling

Michael J. Brusco, T. R. Johns, Tony R. Johns, 1996 .

Optimal solution methods for the minimum-backtracking row layout problem

Michael J. Brusco, M. Brusco, 2004 .

An interactive multiobjective programming approach to combinatorial data analysis

Michael J. Brusco, Stephanie Stahl, M. Brusco, 2001 .

Improving the Walktrap Algorithm Using K-Means Clustering.

M. Brusco, D. Steinley, Ashley L. Watts, 2024, Multivariate behavioral research.

Measuring and testing the agreement of matrices

Douglas Steinley, Michael J Brusco, M. Brusco, 2018, Behavior research methods.

Bicriterion seriation methods for skew-symmetric matrices.

Stephanie Stahl, Michael J Brusco, M. Brusco, 2005, The British journal of mathematical and statistical psychology.