Paper Info
Title
Comparing Non-parametric Ensemble Methods for Document Clustering
Abstract
The biases of individual algorithms for non-parametric document clustering can lead to non-optimal solutions. Ensemble clustering methods may overcome this limitation, but have not been applied to document collections. This paper presents a comparison of strategies for non-parametric document ensemble clustering.
Year
DOI
Venue
2008
10.1007/978-3-540-69858-6_25
NLDB
Field
DocType
Volume
Data mining,Correlation clustering,Computer science,Document clustering,Nonparametric statistics,Consensus clustering,Artificial intelligence,Cluster analysis,Ensemble learning,Machine learning
Conference
5039
ISSN
Citations 
PageRank 
0302-9743
1
0.38
References 
Authors
12
2
Name
Order
Citations
PageRank
Edgar Gonzàlez1394.82
Jordi Turmo230630.52