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SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
13 years 8 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
SEBD
2008
169views Database» more  SEBD 2008»
13 years 8 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
CEC
2009
IEEE
14 years 2 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
MM
2010
ACM
178views Multimedia» more  MM 2010»
13 years 7 months ago
Social audio features for advanced music retrieval interfaces
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...
BMCBI
2008
219views more  BMCBI 2008»
13 years 7 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong