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» Analysis of variance for fuzzy data
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JCB
2002
160views more  JCB 2002»
13 years 7 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 11 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
EMNLP
2004
13 years 9 months ago
The Influence of Argument Structure on Semantic Role Assignment
We present a data and error analysis for semantic role labelling. In a first experiment, we build a generic statistical model for semantic role assignment in the FrameNet paradigm...
Sebastian Padó, Gemma Boleda
FUZZIEEE
2007
IEEE
14 years 1 months ago
Social Network and One-sided Fuzzy Concept Lattices
— In this paper we present information about our experiment with a social network of students from one school class. Each pupil has characterized his/her relationships to all sch...
Stanislav Krajci, Jana Krajciova
BMCBI
2007
237views more  BMCBI 2007»
13 years 7 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico