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» A Quality Measure for Distributed Clustering
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ICDM
2003
IEEE
112views Data Mining» more  ICDM 2003»
15 years 6 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»
13 years 8 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
15 years 3 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»
14 years 11 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»
16 years 2 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