1839 search results - page 32 / 368 » Feature Selection in Clustering Problems |
OIR
2007
13 years 8 months ago
2007
Purpose – The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design. Design/methodology/approach – This study s...
ALGORITHMICA
2006
13 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...