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NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 3 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
134
Voted
SIGIR
2004
ACM
15 years 7 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 8 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
CLUSTER
2000
IEEE
15 years 6 months ago
Parallel Simulation of 3D Nonlinear Acoustic Fields on a Linux-cluster
Simulating the propagation of 3D ultrasonic waves in a nonlinear medium is a demanding task. It requires the solution of time-dependent and nonlinear partial differential equation...
Xing Cai, Åsmund Ødegård
113
Voted
PRIS
2007
15 years 3 months ago
A Novel Distance Measure for Interval Data
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...
Jie Ouyang, Ishwar K. Sethi