Title :
VAT: a tool for visual assessment of (cluster) tendency
Author :
Bezdek, J.C. ; Hathaway, R.J.
Author_Institution :
Dept. of Comput. Sci., Univ. of West Florida, Pensacola, FL, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
A method is given for visually assessing the cluster tendency of a set of Objects O = {o1, . . . ,on} when they are represented either as object vectors or by numerical pairwise dissimilarity values. The objects are reordered and the reordered matrix of pair wise object dissimilarities is displayed as an intensity image. Clusters are indicated by dark blocks of pixels along the diagonal
Keywords :
data analysis; data visualisation; neural nets; pattern clustering; VAT; cluster tendency visual assessment tool; intensity image; numerical pairwise dissimilarity values; object vectors; pair wise object dissimilarities; reordered matrix; Clustering algorithms; Clustering methods; Computer science; Data analysis; Digital images; Mathematical model; Mathematics; Pattern recognition; Pixel; Symmetric matrices;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007487
