44 search results - page 2 / 9 » A novel self-organising clustering model for time-event docu... |
AIRS
2006
Springer
13 years 8 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...
EL
2008
13 years 4 months ago
2008
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
KDD
2010
ACM
13 years 2 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
AIRS
2006
Springer
13 years 8 months ago
2006
Springer
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...