1839 search results - page 26 / 368 » Feature Selection in Clustering Problems |
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
ICML
1994
IEEE
14 years 9 days ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
IDA
2002
Springer
13 years 8 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
SBBD
2000
13 years 10 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
PR
2008
13 years 8 months ago
2008
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...