Outlier Removal Clustering through Minimum Spanning Tree

[1]  S. Victor,et al.  A Novel Algorithm for Meta Similarity Clusters Using Minimum Spanning Tree , 2010 .

[2]  P. McCullagh,et al.  How many clusters , 2008 .

[3]  Sebastião J. Formosinho,et al.  Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering , 2007 .

[4]  Junliang Chen,et al.  ODDC: Outlier Detection Using Distance Distribution Clustering , 2007, PAKDD Workshops.

[5]  Doo-Hwan Bae,et al.  An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method , 2007, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007).

[6]  Yan Zhou,et al.  Minimum Spanning Tree Based Clustering Algorithms , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

[7]  Clara Pizzuti,et al.  Outlier mining in large high-dimensional data sets , 2005, IEEE Transactions on Knowledge and Data Engineering.

[8]  Philip Chan,et al.  Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

[9]  D. Ruppert The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[10]  David M. Rocke,et al.  Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data , 2003, Data Mining and Knowledge Discovery.

[11]  William Bialek,et al.  How Many Clusters? An Information-Theoretic Perspective , 2003, Neural Computation.

[12]  Carlos Soares,et al.  Outlier Detection using Clustering Methods: a data cleaning application , 2004 .

[13]  Bonnie Ghosh-Dastider,et al.  Outlier Detection and Editing Procedures for Continuous Multivariate Data , 2003 .

[14]  P. Stadler,et al.  Centers of complex networks. , 2003, Journal of theoretical biology.

[15]  Christos Faloutsos,et al.  LOCI: fast outlier detection using the local correlation integral , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[16]  atherine,et al.  Finding the number of clusters in a data set : An information theoretic approach C , 2003 .

[17]  Shian-Shyong Tseng,et al.  Two-phase clustering process for outliers detection , 2001, Pattern Recognit. Lett..

[18]  Philip S. Yu,et al.  Outlier detection for high dimensional data , 2001, SIGMOD '01.

[19]  Jaroslav Nesetril,et al.  Otakar Boruvka on minimum spanning tree problem Translation of both the 1926 papers, comments, history , 2001, Discret. Math..

[20]  Y Xu,et al.  Minimum spanning trees for gene expression data clustering. , 2001, Genome informatics. International Conference on Genome Informatics.

[21]  Hans-Peter Kriegel,et al.  LOF: identifying density-based local outliers , 2000, SIGMOD '00.

[22]  Sridhar Ramaswamy,et al.  Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD '00.

[23]  Raymond T. Ng,et al.  Distance-based outliers: algorithms and applications , 2000, The VLDB Journal.

[24]  Raymond T. Ng,et al.  Algorithms for Mining Distance-Based Outliers in Large Datasets , 1998, VLDB.

[25]  Boudewijn P. F. Lelieveldt,et al.  A new cluster validity index for the fuzzy c-mean , 1998, Pattern Recognit. Lett..

[26]  Raymond T. Ng,et al.  A Unified Notion of Outliers: Properties and Computation , 1997, KDD.

[27]  A. Hardy On the number of clusters , 1996 .

[28]  Philip N. Klein,et al.  A randomized linear-time algorithm to find minimum spanning trees , 1995, JACM.

[29]  B. Cutsem,et al.  Detection of outliers and robust estimation using fuzzy clustering , 1993 .

[30]  Michael L. Fredman,et al.  Trans-dichotomous algorithms for minimum spanning trees and shortest paths , 1990, Proceedings [1990] 31st Annual Symposium on Foundations of Computer Science.

[31]  Tetsuo Asano,et al.  Clustering algorithms based on minimum and maximum spanning trees , 1988, SCG '88.

[32]  David Avis,et al.  Diameter partitioning , 1986, Discret. Comput. Geom..

[33]  Robert E. Tarjan,et al.  Efficient algorithms for finding minimum spanning trees in undirected and directed graphs , 1986, Comb..

[34]  Charles T. Zahn,et al.  Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters , 1971, IEEE Transactions on Computers.

[35]  R. Prim Shortest connection networks and some generalizations , 1957 .