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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
15 years 11 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
JDCTA
2010
464views more  JDCTA 2010»
14 years 4 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
ESWS
2006
Springer
15 years 1 months ago
Content Aggregation on Knowledge Bases Using Graph Clustering
Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) syste...
Christoph Schmitz, Andreas Hotho, Robert Jäsc...
ICCSA
2004
Springer
15 years 3 months ago
A Cluster Based Hierarchical Routing Protocol for Mobile Networks
We propose a hierarchical, cluster based semi-distributed routing protocol for a mobile ad hoc network. The network graph is partitioned into clusters using heuristics and the shor...
Kayhan Erciyes, Geoffrey Marshall
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
14 years 7 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich