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BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
16 years 1 months ago
Multiway Clustering for Creating Biomedical Term Sets
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both ...
Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Sh...
ICMCS
2008
IEEE
187views Multimedia» more  ICMCS 2008»
16 years 1 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
KES
2005
Springer
16 years 10 days ago
Towards Adaptive Clustering in Self-monitoring Multi-agent Networks
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...
Piraveenan Mahendra rajah, Mikhail Prokopenko, Pet...
154
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ECML
2004
Springer
16 years 7 days ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
AAAI
2006
15 years 8 months ago
When Is Constrained Clustering Beneficial, and Why?
Several researchers have illustrated that constraints can improve the results of a variety of clustering algorithms. However, there can be a large variation in this improvement, e...
Kiri Wagstaff, Sugato Basu, Ian Davidson