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    ESANN
    2007
    135views Neural Networks» more  ESANN 2007»
    Kernel PCA based clustering for inducing features in text categorization
    13 years 9 months ago
    Kernel PCA based clustering for inducing features in text categorization
    Download  www.dice.ucl.ac.be
    We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
    Zsolt Minier, Lehel Csató
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    ESANN
    2006
    157views Neural Networks» more  ESANN 2006»
    Data mining techniques for feature selection in blood cell recognition
    13 years 9 months ago
    Data mining techniques for feature selection in blood cell recognition
    Download  www.dice.ucl.ac.be
    The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
    Tomasz Markiewicz, Stanislaw Osowski
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    CSIE
    2009
    IEEE
    214views Theoretical Computer Science» more  CSIE 2009»
    Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
    14 years 2 months ago
    Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
    Download  www.sics.se
    The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
    Mesfin Sileshi, Björn Gambäck
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    ICMCS
    2006
    IEEE
    105views Multimedia» more  ICMCS 2006»
    Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
    14 years 1 months ago
    Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
    Download  www.cecs.uci.edu
    An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
    Sangho Yoon, Robert M. Gray
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    BMCBI
    2006
    140views more  BMCBI 2006»
    Feature selection using Haar wavelet power spectrum
    13 years 7 months ago
    Feature selection using Haar wavelet power spectrum
    Download  www.biomedcentral.com
    Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
    Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
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