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» On Feature Selection through Clustering
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ICTAI
2009
IEEE
13 years 5 months ago
Real-Valued Feature Selection by Mutual Information of Order 2
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Rüdiger W. Brause
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
ESANN
2006
13 years 9 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski
LREC
2008
90views Education» more  LREC 2008»
13 years 9 months ago
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
Magnus Rosell, Sumithra Velupillai
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 1 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti