107 search results - page 10 / 22 » Distributed Document Clustering Using Word-clusters |
GECCO
2010
Springer
13 years 7 months ago
2010
Springer
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
ICDAR
2003
IEEE
14 years 29 days ago
2003
IEEE
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...