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» Clustering with Local Restrictions
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ECIR
2006
Springer
14 years 11 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
15 years 3 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
IPPS
2006
IEEE
15 years 3 months ago
Placement and routing of Boolean functions in constrained FPGAs using a distributed genetic algorithm and local search
In this work we present a system for implementing the placement and routing stages in the FPGA cycle of design, into the physical design stage. We start with the ISCAS benchmarks,...
Manuel Rubio del Solar, Juan Manuel Sánchez...
DBA
2004
113views Database» more  DBA 2004»
14 years 11 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 4 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer