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SEMCO
2007
IEEE
14 years 3 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
BIRTHDAY
2010
Springer
14 years 11 days ago
Clustering the Normalized Compression Distance for Influenza Virus Data
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
Kimihito Ito, Thomas Zeugmann, Yu Zhu
PAMI
2008
197views more  PAMI 2008»
13 years 9 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
CGF
1999
79views more  CGF 1999»
13 years 8 months ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...
IDEAL
2003
Springer
14 years 2 months ago
GMM Based on Local Fuzzy PCA for Speaker Identification
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee