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MLMTA
2007
15 years 1 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 4 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
IPM
2006
88views more  IPM 2006»
14 years 11 months ago
Testing the cluster hypothesis in distributed information retrieval
How to merge and organise query results retrieved from different resources is one of the key issues in distributed information retrieval. Some previous research and experiments su...
Fabio Crestani, Shengli Wu
ICASSP
2011
IEEE
14 years 3 months ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...
IPMU
2010
Springer
15 years 4 months ago
A Parallel between Extended Formal Concept Analysis and Bipartite Graphs Analysis
The paper offers a parallel between two approaches to conceptual clustering, namely
Bruno Gaume, Emmanuel Navarro, Henri Prade