1013 search results - page 7 / 203 » Comparisons Between Data Clustering Algorithms |
124
Voted
BIBE
2009
IEEE
15 years 5 months ago
2009
IEEE
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
132
click to vote
TKDE
2008
15 years 2 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
137
click to vote
ICAI
2004
15 years 3 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
124
Voted
SOCIALCOM
2010
15 years 6 days ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
CORR
2011
Springer
14 years 6 months ago
2011
Springer
This paper proposes a new distance metric between clusterings that incorporates information about the spatial distribution of points and clusters. Our approach builds on the idea ...