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ICANN
2003
Springer
16 years 2 days ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 11 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
DEXA
2006
Springer
160views Database» more  DEXA 2006»
15 years 10 months ago
Clustering of Search Engine Keywords Using Access Logs
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
Shingo Otsuka, Masaru Kitsuregawa
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 10 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
IPPS
2000
IEEE
15 years 10 months ago
Bandwidth-Efficient Collective Communication for Clustered Wide Area Systems
Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A major problem in programming parallel applications for such platforms is their hierarchi...
Thilo Kielmann, Henri E. Bal, Sergei Gorlatch