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103
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ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised validity measures for vocalization clustering
This paper describes unsupervised speech/speaker cluster validity measures based on a dissimilarity metric, for the purpose of estimating the number of clusters in a speech data s...
Kuntoro Adi, Kristine E. Sonstrom, Peter M. Scheif...
142
Voted
BMCBI
2004
181views more  BMCBI 2004»
15 years 3 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 4 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
115
Voted
HPCC
2007
Springer
15 years 9 months ago
Maximum-Objective-Trust Clustering Solution and Analysis in Mobile Ad Hoc Networks
In mobile-AdHoc networks (MANETs), many applications need the support of layer-structure. Clustering solution is the most widely used layerstructure and the choosing of clusterhead...
Qiang Zhang, Guangming Hu, Zhenghu Gong
122
Voted
IPPS
2003
IEEE
15 years 9 months ago
A Message Passing Interface Library for Inhomogeneous Coupled Clusters
Clusters of PC containing mostly general purpose hardware have become more and more usable for high performance computing tasks in the past few years. Clustering existing systems ...
Martin Pöppe, Silke Schuch, Thomas Bemmerl