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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 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...
ML
2006
ACM
15 years 5 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
15 years 10 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
CISIS
2009
IEEE
15 years 2 months ago
Evaluation of a Framework for Dynamic Source Selection in Stream Processing
The volume of stream data delivered from different information sources is increasing. There are a variety of demands to utilize such stream data for applications. Stream processin...
Kousuke Ohki, Yousuke Watanabe, Hiroyuki Kitagawa
BMCBI
2004
87views more  BMCBI 2004»
15 years 4 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen