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» Fuzzy Clustering Based on Total Uncertainty Degree
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ISBRA
2007
Springer
14 years 1 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
JIFS
2008
155views more  JIFS 2008»
13 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
EUSFLAT
2003
206views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Analysis of multi-product break-even with uncertain information
We revise the classic methodology to find the multi-product break-even point. In the current paper we propose a solution to the problem under uncertainty conditions, based on DurÃ...
Luisa L. Lazzari, María Silvia Moriñ...
FSS
2010
102views more  FSS 2010»
13 years 4 months ago
Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic
In this paper we investigate the relationship between two prioritized knowledge bases by measuring both the conflict and the agreement between them. First of all, a quantity of co...
Guilin Qi, Weiru Liu, David A. Bell
JUCS
2010
176views more  JUCS 2010»
13 years 5 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying