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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 12 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
MSS
2003
IEEE
108views Hardware» more  MSS 2003»
15 years 11 months ago
Effective Management of Hierarchical Storage Using Two Levels of Data Clustering
When data resides on tertiary storage, clustering is the key to achieving high retrieval performance. However, a straightforward approach to clustering massive amounts of data on ...
Ratko Orlandic
DAWAK
2007
Springer
16 years 13 days ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
ECCV
2010
Springer
15 years 8 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ICML
2009
IEEE
16 years 7 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...