847 search results - page 2 / 170 » Approximation algorithms for projective clustering |
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
ECIR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
ICSM
2005
IEEE
13 years 11 months ago
2005
IEEE
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...