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vlachmore's reduction [19 articles]

Recent papers added to vlachmore's library classified by the tag reduction. You can also see everyone's reduction.
  • Relation between PLSA and NMF and implications
    (2005), pp. 601-602.
    by Eric Gaussier, Cyril Goutte
  • Variational extensions to EM and multinomial PCA
    (2002)
    by W Buntine
    posted to dimensionality multinomial pca reduction by vlachmore on 2008-08-04 19:20:25 as **
  • Exponential family sparse coding with application to self-taught learning with text documents
    (2008)
    by Honglak Lee, Rajat Raina, Alex Teichman, Andrew Y Ng
    posted to dimensionality feature reduction selection text by vlachmore on 2008-07-24 16:55:06 as *****
  • Dirichlet Component Analysis: Feature Extraction for Compositional Data
    (2008), pp. 1128-1135.
    by Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
    posted to analysis component dimensionality dirichlet reduction by vlachmore on 2008-07-24 15:52:51 as **
  • Discrete Component Analysis
    (2006)
    by Wray Buntine, Aleks Jakulin
  • Algorithms for Non-negative Matrix Factorization
    (2000), pp. 556-562.
    by Daniel D Lee, Sebastian H Seung
  • A generalization of principal component analysis to the exponential family
    (2001)
  • Sufficient Dimensionality Reduction
    by Amir Globerson, Naftali Tishby
  • Detecting Stable Clusters Using Principal Component Analysis
    Functional Genomics (2003), pp. 159-182.
    by Asa Ben-Hur, Isabelle Guyon
  • Unsupervised Feature Selection Using Feature Similarity
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4. (2002)
    by P Mitra, CA Murthy, SK Pal
  • Variable Selection for Model-Based Clustering
    Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 168-178.
    by Adrian E Raftery, Nema Dean
  • Unsupervised Forward Selection: A Method for Eliminating Redundant Variables
    J. Chem. Inf. Comput. Sci., Vol. 40, No. 5. (25 September 2000), pp. 1160-1168.
    by DC Whitley, MG Ford, DJ Livingstone
  • CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts
    (2001)
    by Eric P Xing, Richard M Karp
  • An Introduction to Variable and Feature Selection
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1157-1182.
    by Isabelle Guyon, André Elisseeff
    posted to dimensionality feature reduction selection variable by vlachmore on 2008-05-15 15:25:03 as **
  • The Laplacian eigenmaps latent variable model
    (2007)
    by Miguel A Careirra-Perpinan, Zhengdong Lu
    edited by Marina Meila, Xiaotong Shen
  • Probabilistic principal component analysis
    (1997)
    by M Tipping, C Bishop
  • Reducing the dimensionality of compositional data sets
    Mathematical Geology, Vol. 16, No. 6. (1984), pp. 617-635.
    posted to analysis component dimensionality pca principal reduction by vlachmore on 2008-01-27 14:02:05 as *****
  • Principal component analysis of compositional data
    Biometrika, Vol. 70, No. 1. (1 April 1983), pp. 57-65.
  • <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
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