Widely discussed in the mass media, Web 2.0, or social software, has also drawn the attention of researchers, developing into a whole new research area. With Web 2.0's further development, corporation...
While the rest of the world has generally accepted ISO 14001 as the environmental standard, US firms, in general, have lagged behind in their acceptance of this standard. Given the relative importance...
Whereas the production of papers and books in classification grows rapidly, and the methods of clustering are numerous, sometimes making it difficult for practitioners to choose among available method...
When performing a classification study, it is sometimes a sound strategy not to classify all subjects but to leave a residue of unclassified entities to be analyzed separately. Starting from an intera...
We investigated the nosology of endogenous depression by numerical taxonomy. Five hundred and sixty-nine patients diagnosed as having unipolar major depressive disorder in the NIMH Clinical Research B...
We introduce a UPGMA based counterpart to the Lance and Williams (1966) p-flexible clustering strategy. This new method is compared with the original p-flexible technique based on WPGMA for a range of...
Visualization can be very powerful in revealing cluster structures. However, directly using visualization techniques to verify the validity of clustering results is still a challenge. This is due to t...
Using Root Cause Analysis to Handle Intrusion Detection Alarms Klaus Julisch IBM Zurich Research Laboratory Säumerstrasse 4 8803 R̈uschlikon, Switzerland e-mail: kju@zurich.ibm.com In response to atta...
Two hundred persons arrested for driving under the influence (DUI), 30 social drinkers, 30 depressed patients, 30 incarcerated criminals, and 30 alcoholics completed the Hogan Personality Inventory (H...
Title of dissertation: GLOBAL OPTIMIZATION OF FINITE MIXTURE MODELS Jeffrey W. Heath Doctor of Philosophy, 2007 Dissertation directed by: Professor Michael Fu Robert H. Smith School of Business & Prof...
This study explored two methods that are used to assess the dimensionality of item response data. The paper begins with a discussion of the assessment dimensionality and the use of factor-analytic pro...
This study empirically develops a taxonomy that has implications for matching information technology (IT) and organizational structures. The taxonomy of IT structure is based on the degree of centrali...
This report details the development and trial of a method to assess the acceptability of seat belt reminder systems. The method is based on the simulation of social processes likely to occur with the ...
This paper surveys various ways in which probabilistic approaches can be useful in partitional (‘non-hierarchical’) cluster analysis. Four basic distribution models for ‘clustering structures’ are des...
This paper proposes a new approach for discriminative clustering. The intuition is, for a good clustering, one should be able to learn a classifier from the clustering labels with high generalization ...
This paper examines bus ride times of exceptional school children in North Carolina. It uses levels of service data, which show excessive ride times for exceptional school children, to form clusters o...
This paper describes a set of four BASIC computer programs for computing the Rand (1971) index of cluster similarity. The routines calculate the unadjusted Rand index; the separate routines are design...
This paper considers the classifications produced by application of the single linkage, complete linkage, group average and Ward clustering methods to the Keen and Cranfield document test collections....
This dissertation takes a relationship-based approach to cluster analysis of high (1000 and more) dimensional data that side-steps the ‘curse of dimensionality’ issue by working in a suitable similari...
This chapter provides a review of the field of clustering and classification as applied in the behavioral sciences. The intent is to provide a set of recommendations or best practices in the analysis ...