1971 search results - page 41 / 395 » A clustering method that uses lossy aggregation of data |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
ML
2002
ACM
13 years 7 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
CSDA
2007
13 years 7 months ago
2007
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
WEA
2004
Springer
14 years 1 months ago
2004
Springer
Clustering can be used to identify groups of similar solutions in Multimodal Optimisation. However, a poor clustering quality reduces the benefit of this application. The vast maj...
PR
2008
13 years 7 months ago
2008
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...