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PODS
2004
ACM
158views Database» more  PODS 2004»
14 years 9 months ago
k-Means Projective Clustering
Pankaj K. Agarwal, Nabil H. Mustafa
FLAIRS
2004
13 years 10 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
DBA
2004
113views Database» more  DBA 2004»
13 years 10 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
CIKM
2004
Springer
14 years 2 months ago
Document clustering based on cluster validation
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
LWA
2004
13 years 10 months ago
Experiments in Term Weighting and Keyword Extraction in Document Clustering
We study methods to initialize or bias different clustering methods using prior information about the "importance" of a keyword w.r.t. the whole document collection or a...
Christian Borgelt, Andreas Nürnberger