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ECML
2004
Springer
14 years 2 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
13 years 10 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
FSTTCS
2009
Springer
14 years 1 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...
EUROPAR
2004
Springer
14 years 2 months ago
Cluster Based Distributed Mutual Exclusion Algorithms for Mobile Networks
We propose an architecture that consists of a ring of clusters for distributed mutual exclusion algorithms in mobile networks. The mobile network is partitioned into a number of cl...
Kayhan Erciyes
CIT
2004
Springer
14 years 17 days ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang