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ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
16 years 24 days 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
GD
2005
Springer
16 years 21 days ago
Drawing Clustered Graphs in Three Dimensions
Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a ...
Joshua Wing Kei Ho, Seok-Hee Hong
SIGIR
2004
ACM
16 years 18 days ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CLUSTER
2002
IEEE
16 years 4 days ago
Shell over a Cluster (SHOC): Towards Achieving Single System Image via the Shell
With dramatic improvements in cost-performance, the use of clusters of personal computers is fast becoming widespread. For ease of use and management, a Single System Image (SSI) ...
C. M. Tan, C. P. Tan, Weng-Fai Wong
DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
15 years 11 months ago
COWES: Clustering Web Users Based on Historical Web Sessions
Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots of web user sessions. They do no...
Ling Chen 0002, Sourav S. Bhowmick, Jinyan Li