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» Clustering for metric and non-metric distance measures
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SGAI
2007
Springer
13 years 11 months ago
Metrics for Mining Multisets
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
Walter A. Kosters, Jeroen F. J. Laros

Book
640views
15 years 4 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 5 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
CIKM
2008
Springer
13 years 7 months ago
Learning the distance metric in a personal ontology
Personal ontology construction is the task of sorting through relevant materials, identifying the main topics and concepts, and organizing them to suit personal needs. Automatic c...
Hui Yang, Jamie Callan
ICMCS
2008
IEEE
187views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Accommodating sample size effect on similarity measures in speaker clustering
We investigate the symmetric Kullback-Leibler (KL2) distance in speaker clustering and its unreported effects for differently-sized feature matrices. Speaker data is represented a...
Alexander Haubold, John R. Kender