CLICK: Clustering Categorical Data Using K-partite Maximal Cliques (2004)
by
Markus Peters
,
Mohammed J. Zaki
| Citations: | 9 - 1 self |
BibTeX
@MISC{Peters04click:clustering,
author = {Markus Peters and Mohammed J. Zaki},
title = {CLICK: Clustering Categorical Data Using K-partite Maximal Cliques},
year = {2004}
}
OpenURL
Abstract
Clustering is one of the central data mining problems and numerous approaches have been proposed in this field. However, few of these methods focus on categorical data. The categorical techniques that do exist have significant shortcomings in terms of performance, the clusters they detect, and their ability to locate clusters in subspaces.







