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149
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IDA
2009
Springer
15 years 1 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
159
Voted
BMCBI
2011
14 years 7 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
129
Voted
MUE
2007
IEEE
190views Multimedia» more  MUE 2007»
15 years 10 months ago
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
111
Voted
CIDR
2007
105views Algorithms» more  CIDR 2007»
15 years 5 months ago
Turning Cluster Management into Data Management; A System Overview
This paper introduces the CondorJ2 cluster management system. Traditionally, cluster management systems such as Condor employ a process-oriented approach with little or no use of ...
Eric Robinson, David J. DeWitt
123
Voted
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 3 months ago
Turning Cluster Management into Data Management: A System Overview
This paper introduces the CondorJ2 cluster management system. Traditionally, cluster management systems such as Condor employ a process-oriented approach with little or no use of ...
Eric Robinson, David J. DeWitt