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KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 10 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
ICPR
2008
IEEE
14 years 4 months ago
Online adaptive clustering in a decision tree framework
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
Jayanta Basak
JDA
2006
98views more  JDA 2006»
13 years 9 months ago
Completely connected clustered graphs
Abstract. Planar drawings of clustered graphs are considered. We introduce the notion of completely connected clustered graphs, i.e. hierarchically clustered graphs that have the p...
Sabine Cornelsen, Dorothea Wagner
ISNN
2004
Springer
14 years 3 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
DMIN
2006
143views Data Mining» more  DMIN 2006»
13 years 11 months ago
Reverse Tree Clustering
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...
Casey Bartman, Jamal R. Alsabbagh