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Cluster ensembles: a knowledge reuse framework for combining partitionings

by: Alexander Strehl, Joydeep Ghosh

(2002), pp. 93-98.

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1d 2d adaboost affine-diagram amovible-surface applications approximation axiomatization bayes bayesian bhattacharyya bibtex-import bic bisector bregman bregman-csiszar burbea-rao camera camera-array capacitory-discrimanation centroid channel-capacity chi-squared clustering collineation compass computational-biology computational-geometry computer-graphics computer-vision convex-duality convex-hull convex-programming covering cpq cross-power-spectrum csiszar data-structure degenerate-cases density-estimation discrete distance divergence diversity dt-mri duality dynamic ecology em emd entropy epsilon-net estimator euclidean-distance experimental-study exponential-families facility-location fat-object f-divergence fenchel fft frank-nielsen functions gallai gamma gaussian geometry gmm grouping-querying groups hdr helly histograms history hitting-set holevo holevo-capacity homography hypermask image-registration image-segmentation information information-ball information-center information-geometry information-theory inpainting interpolation invisibility itakura-saito jensen-difference jensen-shannon jpeg2000 kullback-leibler least-squares legendre lie lightfield location-estimation log-euclidean lower-bound machine-learning magic mathematics maxent maximal-layer metric metrics miniball minimax minmax mixture mle mosaicing multinomial multivariate-normal mutual-information natural-gradient nearest-neighbor neuromanifold normal normalized-mutualinformation -operator optimization output-sensitive panorama piercing point-estimation point-location poisson polygon popular-science power-diagram projection projector projector-array qig quantum quantum-divergence random-number riemannian rkhs sat segmentation set-cover shannon shooter-problem sketch soft-clustering spinorama srm statistics svm symbolic-computation technology teddy tensors texture texture-synthesis theory tsallis-entropy ui universality visual-computing volume voronoi