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» A Quality Measure for Distributed Clustering
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ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
13 years 11 months ago
Privacy-preserving Distributed Clustering using Generative Models
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Srujana Merugu, Joydeep Ghosh
TMA
2012
Springer
232views Management» more  TMA 2012»
12 years 1 months ago
Distributed Troubleshooting of Web Sessions Using Clustering
Web browsing is a very common way of using the Internet to, among others, read news, do on-line shopping, or search for user generated content such as YouTube or Dailymotion. Tradi...
Heng Cui, Ernst Biersack
CIKM
2008
Springer
13 years 7 months ago
A measure for cluster cohesion in semantic overlay networks
Semantic overlay networks cluster peers that are semantically, thematically or socially close into groups by means of a rewiring procedure that is periodically executed by each pe...
Paraskevi Raftopoulou, Euripides G. M. Petrakis
ICDM
2009
IEEE
102views Data Mining» more  ICDM 2009»
13 years 3 months ago
Global Slope Change Synopses for Measurement Maps
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on ...
Frank Rosenthal, Ulrike Fischer, Peter Benjamin Vo...
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 7 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim