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Tag k-means [26 articles]

Recent papers classified by the tag k-means.
  • A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering
    Machine Learning
    by Shai Ben-David
    posted to clustering k-means k-median by zoop on 2006-12-06 21:31:42 as *** along with 2 people noa amoswish
  • Concept decompositions for large sparse text data using clustering
    Machine Learning, Vol. 42, No. 1. (2001), pp. 143-175.
    by IS Dhillon, DS Modha
  • Concept Decompositions for Large Sparse Text Data Using Clustering
    Machine Learning, Vol. V42, No. 1. (1 January 2001), pp. 143-175.
    by Inderjit S Dhillon, Dharmendra S Modha
    posted to clustering k-means spherical by ykuoka on 2008-01-09 13:26:22 as *
  • Maximum Likelihood from Incomplete Data via the EM Algorithm
    Journal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1. (1977), pp. 1-38.
    by AP Dempster, NM Laird, DB Rubin
  • Clustering noisy data in a reduced dimension space via multivariate regression trees
    Pattern Recognition, Vol. In Press, Corrected Proof
    by Christine Smyth, Danny Coomans, Yvette Everingham
    posted to clustering dimensionnality-reduction k-means by xtizon on 2005-11-22 10:10:24 as *****
  • <i>K</i>-means clustering via principal component analysis
    (2004)
    by Chris Ding, Xiaofeng He
    posted to clustering dimensionality k-means pca reduction by vlachmore on 2008-01-18 19:00:33 as read
  • Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering.
    Genome Biol, Vol. 3, No. 11. (10 October 2002)
    by AP Gasch, MB Eisen
    posted to conditional fuzzy k-means by tabu on 2006-04-18 06:08:40 as ** along with 2 people tvdbulck tmmurali
  • Integrating constraints and metric learning in semi-supervised clustering
    (2004)
    by M Bilenko, S Basu, R Mooney
    posted to k-means semi-supervised unsupervised by sona on 2007-02-08 18:36:56 as ****
  • Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering
    (2003)
    by S Basu, M Bilenko, R Mooney
    posted to k-means probabilistic semi-supervised unsupervised by sona on 2007-02-09 15:21:47 as **
  • Constrained K-means Clustering with Background Knowledge
    (2001), pp. 577-584.
    by Kiri Wagsta, Claire Cardie, Seth Rogers, Stefan Schroedl
    posted to k-means semi-supervised unsupervised by sona on 2007-02-08 17:16:11 as read
  • Active semi-supervision for pairwise constrained clustering
    (2004)
    by S Basu, A Banerjee, R Mooney
    posted to active-learning k-means semi-supervised unsupervised by sona on 2007-02-09 14:33:04 as ***
  • Semi-supervised clustering by seeding
    (2002)
    by S Basu, A Banerjee, R Mooney
  • An Efficient Parallel Algorithm for High Dimensional Similarity Join
    (1998)
    posted to k-means by mauricem on 2007-10-12 21:51:49 as ***
  • Fast K-Means Vector Quantizer For Very Large Amounts Of Data
    by Mike Schuster
    posted to k-means by mauricem on 2007-10-12 21:48:07 as ***
  • Kernel k-means: spectral clustering and normalized cuts
    (2004), pp. 551-556.
    by Inderjit S Dhillon, Yuqiang Guan, Brian Kulis
  • Alternatives to the k-means algorithm that find better clusterings
    (2002), pp. 600-607.
    by Greg Hamerly, Charles Elkan
    posted to clustering k-means mean-shift by marrtin on 2008-03-09 00:35:47 as ** along with 2 people chadhogg julianpan
  • Least squares quantization in PCM
    Information Theory, IEEE Transactions on, Vol. 28, No. 2. (1982), pp. 129-137.
    by S Lloyd
    posted to clustering k-means by marrtin on 2008-02-26 17:06:58 as **
  • On Clustering fMRI Time Series
    NeuroImage, Vol. 9, No. 3. (March 1999), pp. 298-310.
    by Cyril Goutte, Peter Toft, Egill Rostrup, Finn A Nielsen, Lars K Hansen
  • Improved K-means clustering algorithm for exploring local protein sequence motifs representing common structural property.
    IEEE Trans Nanobioscience, Vol. 4, No. 3. (September 2005), pp. 255-265.
    by W Zhong, G Altun, R Harrison, PC Tai, Y Pan
    posted to protein_structure k-means by kaarsinogen on 2007-01-22 06:55:43 as **
  • Bipartite Graph Partitioning and Data Clustering
    (2001), pp. 25-32.
    by Hongyuan Zha, Xiaofeng He, Chris HQ Ding, Ming Gu, Horst D Simon
    posted to clustering k-means pca by jgronski on 2007-12-04 04:37:05 as **
  • notes Dynamic Susceptibility Contrast Perfusion MR Imaging of Multiple Sclerosis Lesions: Characterizing Hemodynamic Impairment and Inflammatory Activity
    AJNR Am J Neuroradiol, Vol. 26, No. 6. (1 June 2005), pp. 1539-1547.
    by Yulin Ge, Meng Law, Glyn Johnson, Joseph Herbert, James S Babb, Lois J Mannon, Robert I Grossman
    posted to perfusion ms mr k-means by haegler on 2008-04-28 15:33:23 as read
  • Optimal adaptive k-means algorithm with dynamic adjustment of learning rate
    Neural Networks, IEEE Transactions on, Vol. 6, No. 1. (1995), pp. 157-169.
    posted to k-means by gtdj on 2008-02-12 06:02:26 as **
  • Weighted Graph Cuts without Eigenvectors A Multilevel Approach.
    IEEE Trans Pattern Anal Mach Intell, Vol. 29, No. 11. (November 2007), pp. 1944-1957.
    by IS Dhillon, Y Guan, B Kulis
    posted to clustering k-means spectral by dragonrez on 2007-10-17 04:52:23 as **
  • Approximating K-means-type Clustering via Semidefinite Programming
    SIAM J. on Optimization, Vol. 18, No. 1. (February 2007), pp. 186-205.
    by Jiming Peng, Yu Wei
    posted to sdp k-means clustering by daniel51 on 2008-06-22 13:04:20 as **
  • Clustering with Transitive Distance and K-Means Duality
    (22 Nov 2007)
    by Chunjing Xu, Jianzhuang Liu, Xiaoou Tang
    posted to clustering k-means by bigbossman on 2007-11-29 20:33:37 as read
  • A comparison of document clustering techniques
    (2000)
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