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» MABAC - Matrix Based Clustering Algorithm
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EMMCVPR
2003
Springer
15 years 5 months ago
Watershed-Based Unsupervised Clustering
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...
HICSS
2002
IEEE
212views Biometrics» more  HICSS 2002»
15 years 4 months ago
Connectivity-Based k-Hop Clustering in Wireless Networks
Abstract. In this paper we describe several new clustering algorithms for nodes in a mobile ad hoc network. The main contribution is to generalize the cluster definition and forma...
Geng Chen, Fabian Garcia Nocetti, Julio Solano-Gon...
CIKM
2000
Springer
15 years 4 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
15 years 6 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Marek Lipczak, Evangelos E. Milios
ESA
2003
Springer
123views Algorithms» more  ESA 2003»
15 years 5 months ago
Experiments on Graph Clustering Algorithms
A promising approach to graph clustering is based on the intuitive notion of intra-cluster density vs. inter-cluster sparsity. While both formalizations and algorithms focusing on ...
Ulrik Brandes, Marco Gaertler, Dorothea Wagner