Finding the number of clusters in ordered dissimilarities

Soft Computing

Volumn 13, Issue 12, 2009, Pages 1125-1142

  Sledge, Isaac J ^a   Havens, Timothy C ^a   Huband, Jacalyn M ^b   Bezdek, James C ^b   Keller, James M ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF WEST FLORIDA   (United States)

Author keywords

Cluster count extraction; Cluster tendency; Clustering; Data analysis; Pattern recognition

Indexed keywords

CLUSTER COUNT EXTRACTION; CLUSTER TENDENCY; CLUSTERING; CLUSTERING METHODS; DATA ANALYSIS; DATA REASONING; EXPLORATORY DATA ANALYSIS; INPUT SAMPLE; NUMBER OF CLUSTERS; NUMERICAL EXAMPLE; RELATIONAL DATA;

PATTERN RECOGNITION;

CLUSTER ANALYSIS;

EID: 67749088042     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-009-0421-5     Document Type: Conference Paper

References (47)

1. Anderson DT, Luke RH, Keller JM, Skubic M (2008a) Modeling human activity from voxel person using fuzzy logic. IEEE Trans Fuzzy Syst (to appear)
2. Anderson DT, Luke RH, Keller JM, Skubic M, Rantz M, Aud M (2008b) Linguistic summarization of activities for fall detection using voxel person and fuzzy logic. Comp Vis Image Underst
3. Asuncion A, Newman DJ (2007) UCI machine learning repository. http:// archive.ics.uci.edu/ml/
4. Atiquzzaman M (1992) Multiresolution Hough transform - an efficient method of detecting patterns in images. IEEE Trans Pattern Anal Mach Intell 14:1090-1095
5. Baumgartner R, Somorajai R, Summers R, Richter W, Ryner L (2000) Correlator beware: Correlation has limited selectivity for fMRI data analysis. NeuroImage 12:240-243
6. Baumgartner R, Somorajai R, Summers R, Richter W (2001) Ranking fMRI time courses by minimum spanning trees: Assessing coactivation in fMRI. NeuroImage 13:734-742
7. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York
8. Bezdek JC, Hathaway RJ (2002) VAT: A tool for visual assessment of (cluster) tendency. In: Proceedings of the IEEE joint conference on neural networks
9. Bezdek JC, Pal NR (1998) Some new indexes of cluster validity. IEEE Trans Syst Man Cybern 28:301-315
10. Bezdek JC, Hathaway RJ, Huband JM (2005) bigVAT: Visual assessment of cluster tendency for large datasets. Pattern Recogn 38:1875-1886
11. Bezdek JC, Hathaway RJ, Huband JM (2006) Visual assessment of clustering tendency for rectangular dissimilarity matrices. IEEE Trans Fuzzy Syst 15:890-903
12. Borg I, Lingoes J (1987) Multidimensional similiarity structure analysis. Springer, New York
13. Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8:679-698
14. Cattell RB (1944) A note on correlation clusters and cluster search methods. Psychometrika 9:169-184
15. Cleveland WS (1993) Visualizing data. Hobart Press, Summit
16. Dhillion I, Modha D, Spranger W (2000) Visualizing class structure of multidimensional data. In: Proceedings of the 30th symposium on the interface: Computing science and statistics
17. Everitt BS (1978) Graphical techniques for multivariate data. Heinemann, London
18. Floodgate GD, Hayes PR (1963) The Adansonian taxonomy of some yellow pigmented marine bacteria. J Gen Microbiol 30:237-244
19. Gene Ontology Consortium (2004) The gene ontology (GO) database and informatics resource. Nucleic Acids Res 32:D258-D261
20. Gonzalez RC, Woods RE (2002) Digital image processing. Prentice-Hall, Upper Saddle River
21. Hathaway RJ, Bezdek JC (1994) NERF c -means: Non-Euclidean relational fuzzy clustering. Pattern Recogn 27:429-437
22. Hathaway RJ, Bezdek JC (2006) Visual cluster validity for prototype generator clustering models. Pattern Recogn Lett 24:1563-1569
23. Hathaway RJ, Bezdek JC, Huband JM (2005) Scalable visual assessment of cluster tendency. Pattern Recogn 39:1315-1324
24. Havens TC, Bezdek JC, Keller JM, Popescu M (2008a) Dunn's cluster validity index as a contrast measure of VAT images. In: Proceedings of the IEEE international conference on pattern recognition
25. Havens TC, Bezdek JC, Keller JM, Popescu M, Huband JM (2008b) Is VAT really single linkage in disguise? Ann Math Artif Intell (in review)
26. Huband JM, Bezdek JC (2008) VCV - visual cluster validity. Pattern Recogn (in review)
27. Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice-Hall, Englewood Cliffs
28. Johnson RA, Wichern DA (1992) Applied multivariate statistical analysis, 3rd edn. Prentice-Hall, Englewood Cliffs
29. Kendall M, Gibbons JD (1990) Rank correlation methods. Oxford University Press, New York
30. Ling RF (1973) A computer generated aid for cluster analysis. Commun ACM 16:355-361
31. Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9:757-763
32. Popescu M, Keller JM, Mitchell JA, Bezdek JC (2004) Functional summarization of gene product clusters using gene ontology similarity measures. In: Proceedings of the IEEE international conference on intelligent sensors. Sens Netw Inform Process
33. Saha PK, Udupa JK (2001) Optimum image thresholding via class uncertainty and region homogenity. IEEE Trans Pattern Anal Mach Intell 23:689-706
34. Sledge IJ, Keller JM (2008) Growing neural gas for temporal clustering. In: Proceedings of the IEEE international conference on pattern recognition
35. Sledge IJ, Havens TC, Bezdek JC, Keller JM (2008a) Partitioning ordered dissimilarity data. IEEE Trans Knowl Data Eng (in review)
36. Sledge IJ, Huband JM, Bezdek JC (2008b) Automatic cluster count extraction from unlabeled datasets. In: Proceedings of the IEEE conference on fuzzy systems and knowledge discovery
37. Sledge IJ, Keller JM, Alexander GL (2008c) Emergent trend detection in diurnal activity. In: Proceedings of the IEEE engineering in biology and medicine conference
38. Sledge IJ, Keller JM, Havens TC, Alexander GL, Skubic M (2008d) Temporal activity analysis. In: Proceedings of the association for the advancement of artificial intelligence
39. Sledge IJ, Havens TC, Keller JM, Bezdek JC (2009) Relational generalizations of validity indexes. IEEE Trans Syst Man Cybern (in review)
40. Sneath P (1957) A computer approach to numerical taxonomy. J Gen Microbiol 17:201-226
41. Strehl A, Ghosh J (2000a) A scalable approach to balanced, high-dimensional clustering of market-baskets. In: Proceedings of the international conference on high performance computing
42. Strehl A, Ghosh J (2000b) Value-based customer grouping from large retail data-sets. In: Proceedings of the SPIE conference on data mining and knowledge discovery
43. Theodoridis S, Koutroumbas K (2003) Pattern recognition, 2nd edn. Elsevier, New York
44. Tran-Luu TD (1996) Mathematical concepts and novel heuristic methods for data clustering and visualization. Ph.D. thesis, University of Maryland, College Park
45. Tryon RC (1939) Cluster analysis. Edwards Bros., Ann Arbor
46. Tukey JW (1977) Exploratory data analysis. Addison-Wesley, Reading
47. Wang W, Zhang Y (2007) On fuzzy cluster validity indices. Fuzzy Sets Syst 158:2095-2117