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UAI
2000
15 years 9 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 7 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
JUCS
2002
93views more  JUCS 2002»
15 years 7 months ago
On the Semiautomatic Generation of WordNet Type Synsets and Clusters
: WordNet (WN) is a lexical knowledge base, first developed for English and then adopted for several Western European languages, which was created as a machinereadable dictionary b...
Florentina Hristea
MLDM
2005
Springer
16 years 1 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
BMCBI
2007
123views more  BMCBI 2007»
15 years 7 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...