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» Algorithms for Clustering Data
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156
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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 6 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
JIB
2008
76views more  JIB 2008»
15 years 6 months ago
WebStruct and VisualStruct: web interfaces and visualization for Structure software implemented in a cluster environment
Structure, is a widely used software tool to investigate population genetic structure with multi-locus genotyping data. The software uses an iterative algorithm to group individua...
B. Jayashree, S. Rajgopal, David A. Hoisington, V....
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
16 years 8 days ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
185
Voted
APPT
2007
Springer
15 years 8 months ago
A Parallel BSP Algorithm for Irregular Dynamic Programming
Dynamic programming is a widely applied algorithm design technique in many areas such as computational biology and scientific computing. Typical applications using this technique a...
Malcolm Yoke-Hean Low, Weiguo Liu, Bertil Schmidt
169
Voted
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
16 years 18 days ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park