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DATAMINE
2006
89views more  DATAMINE 2006»
15 years 4 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
IRAL
2003
ACM
15 years 9 months ago
Keyword-based document clustering
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
Seung-Shik Kang
IJBRA
2007
88views more  IJBRA 2007»
15 years 4 months ago
Finding molecular complexes through multiple layer clustering of protein interaction networks
: Clustering protein-protein interaction networks (PINs) helps to identify complexes that guide the cell machinery. Clustering algorithms often create a flat clustering, without co...
Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaoga...
ITSL
2008
15 years 5 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
ICPR
2008
IEEE
15 years 11 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
Xi Wang, Chunyu Yang, Jie Zhou