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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 9 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ICIC
2005
Springer
14 years 3 months ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
CICLING
2010
Springer
14 years 1 months ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
ICIAP
2007
ACM
14 years 10 months ago
A Method of Clustering Combination Applied to Satellite Image Analysis
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. T...
Ivan O. Kyrgyzov, Henri Maître, Marine Campe...
CSDA
2007
99views more  CSDA 2007»
13 years 9 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar