1971 search results - page 173 / 395 » A clustering method that uses lossy aggregation of data |
CORR
2008
Springer
13 years 9 months ago
2008
Springer
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
AI
2005
Springer
14 years 2 months ago
2005
Springer
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
AI
2009
Springer
14 years 3 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...