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ESWA
2008
119views more  ESWA 2008»
13 years 7 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
WWW
2007
ACM
14 years 7 months ago
On building graphs of documents with artificial ants
We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...
Hanane Azzag, Julien Lavergne, Christiane Guinot, ...
ICCAD
2005
IEEE
98views Hardware» more  ICCAD 2005»
14 years 3 months ago
Clustering for processing rate optimization
Clustering (or partitioning) is a crucial step between logic synthesis and physical design in the layout of a large scale design. A design verified at the logic synthesis level m...
Chuan Lin, Jia Wang, Hai Zhou
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
13 years 11 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa