280 search results - page 10 / 56 » A Semi-Supervised Document Clustering Algorithm Based on EM |
126
Voted
SIGIR
2000
ACM
15 years 8 months ago
2000
ACM
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
101
Voted
JSA
2006
15 years 3 months ago
2006
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
108
Voted
IRAL
2003
ACM
15 years 9 months ago
2003
ACM
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
156
Voted
AIRS
2006
Springer
15 years 7 months ago
2006
Springer
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
141
Voted
DMIN
2006
15 years 5 months ago
2006
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...