6 search results - page 1 / 2 » Efficient Maximum Margin Clustering via Cutting Plane Algori... |
SDM
2008
SIAM
13 years 5 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
TKDE
2012
11 years 6 months ago
2012
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
KDD
2009
ACM
14 years 4 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...