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ICML
2006
IEEE
16 years 5 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
MLMTA
2007
15 years 5 months ago
Consensus Based Ensembles of Soft Clusterings
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
Kunal Punera, Joydeep Ghosh
CORR
2010
Springer
183views Education» more  CORR 2010»
15 years 4 months ago
Forming the COUNCIL Based Clusters in Securing Wireless Ad Hoc Networks
-- In cluster-based routing protocol (CBRP), two-level hierarchical structure is successfully used to reduce over-flooding in wireless ad hoc networks. As it is vulnerable to a sin...
Alok Ojha, Hongmei Deng, Dharma P. Agrawal, Sugata...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 4 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
ESWA
2008
166views more  ESWA 2008»
15 years 3 months ago
Modular design to support green life-cycle engineering
The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers' needs. However, frequent variation of product specificat...
Hwai-En Tseng, Chien-Chen Chang, Jia-Diann Li