766 search results - page 17 / 154 » Clustering high dimensional data using subspace and projecte... |
DAWAK
2007
Springer
14 years 2 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...