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» MABAC - Matrix Based Clustering Algorithm
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MLDM
2005
Springer
15 years 7 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
126
Voted
ICDM
2002
IEEE
123views Data Mining» more  ICDM 2002»
15 years 6 months ago
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
Previous works on automatic query clustering most generate a flat, un-nested partition of query terms. In this work, we are pursuing to organize query terms into a hierarchical s...
Shui-Lung Chuang, Lee-Feng Chien
129
Voted
FSTTCS
2001
Springer
15 years 6 months ago
On Clustering Using Random Walks
Abstract. We propose a novel approach to clustering, based on deterministic analysis of random walks on the weighted graph associated with the clustering problem. The method is cen...
David Harel, Yehuda Koren
SAC
2008
ACM
15 years 1 months ago
Sensor stream reduction for clustered wireless sensor networks
This work presents the use of sensor stream reduction algorithms in clustered wireless sensor networks (WSNs), where the cluster head node is responsible to reduce the amount of d...
André L. L. de Aquino, Carlos Mauricio S. F...
BMCBI
2010
139views more  BMCBI 2010»
15 years 1 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler