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PAKDD
2007
ACM
106views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Hierarchical Density-Based Clustering of Categorical Data and a Simplification
Bill Andreopoulos, Aijun An, Xiaogang Wang
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
13 years 8 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
13 years 9 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
13 years 10 months ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu
EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 5 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...