DocumentCode
3031176
Title
A Cluster By Any Other Name
Author
Keller, J.M. ; Sledge, I.J.
Author_Institution
Univ. of Missouri Columbia, Columbia
fYear
2007
fDate
24-27 June 2007
Firstpage
427
Lastpage
432
Abstract
What´s in a name? Over the last several years, Lotfi Zadeh has been using the definition of a cluster as an example of a very common fuzzy term that we humans use without a real definition. This paper represents an attempt to construct a degree of clusterness for a given set of points. We introduce two approaches, one based on the Possibilistic C-Means and the other on a Visual Assessment of Cluster Tendency. We compare the measures on several synthetic data sets and discuss the results.
Keywords
fuzzy set theory; pattern clustering; cluster tendency; possibilistic c-means; visual assessment; Clustering algorithms; Displays; Fuzzy sets; Humans; Iterative algorithms; Partitioning algorithms; Phase change materials; Pressing; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location
San Diego, CA
Print_ISBN
1-4244-1213-7
Electronic_ISBN
1-4244-1214-5
Type
conf
DOI
10.1109/NAFIPS.2007.383877
Filename
4271100
Link To Document