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» Correlational spectral clustering
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WCRE
2002
IEEE
15 years 2 months ago
Applying Spectral Methods to Software Clustering
The application of spectral methods to the software clustering problem has the advantage of producing results that are within a known factor of the optimal solution. Heuristic sea...
Ali Shokoufandeh, Spiros Mancoridis, Matthew Mayco...
JMLR
2006
108views more  JMLR 2006»
14 years 9 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
IMAGING
2003
14 years 11 months ago
The Impact of Spectrally-Stable Ink Variability on Spectral Color Management
Typical color image processing techniques use profiles consisting of sparse multi-dimensional lookup tables that interpolate between adjacent nodes to prepare an image for renderi...
Edward F. Hattenberger, Mitchell R. Rosen, Noboru ...
HAIS
2010
Springer
14 years 9 months ago
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
Boris Mirkin, Susana Nascimento, Trevor I. Fenner,...
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 4 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...