8 search results - page 1 / 2 » Active Constrained Clustering by Examining Spectral Eigenvec... |
DIS
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
INFOCOM
2003
IEEE
13 years 10 months ago
2003
IEEE
Abstract— We perform spectral analysis of the Internet topology at the AS level, by adapting the standard spectral filtering method of examining the eigenvectors corresponding t...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
ML
2010
ACM
13 years 3 days ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
UAI
2003
13 years 6 months ago
2003
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...