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» Experiments on Graph Clustering Algorithms
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ICPR
2002
IEEE
15 years 7 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
125
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ICANN
2010
Springer
15 years 2 months ago
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
Yiu-ming Cheung, Hong Jia
ISBI
2011
IEEE
14 years 6 months ago
Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography
High angular resolution diffusion imaging (HARDI) allows in vivo analysis of the white matter structure and connectivity. Based on orientation distribution functions (ODFs) that r...
Gautam Prasad, Neda Jahanshad, Iman Aganj, Christo...
124
Voted
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 6 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
PLDI
2004
ACM
15 years 7 months ago
Cost effective dynamic program slicing
Although dynamic program slicing was first introduced to aid in user level debugging, applications aimed at improving software quality, reliability, security, and performance hav...
Xiangyu Zhang, Rajiv Gupta