1167 search results - page 70 / 234 » Limits of Spectral Clustering |
148
Voted
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
177
click to vote
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
156
click to vote
ECML
2006
Springer
15 years 8 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...
144
click to vote
CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
151
click to vote
BMCBI
2010
15 years 4 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...