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    PRL
    2008
    135views more  PRL 2008»
    A hierarchical clustering algorithm based on the Hungarian method
    13 years 7 months ago
    A hierarchical clustering algorithm based on the Hungarian method
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    We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
    Jacob Goldberger, Tamir Tassa
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    BMCBI
    2008
    122views more  BMCBI 2008»
    A practical comparison of two K-Means clustering algorithms
    13 years 8 months ago
    A practical comparison of two K-Means clustering algorithms
    Download  www.biomedcentral.com
    Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
    Gregory A. Wilkin, Xiuzhen Huang
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    KDD
    2008
    ACM
    119views Data Mining» more  KDD 2008»
    SAIL: summation-based incremental learning for information-theoretic clustering
    14 years 8 months ago
    SAIL: summation-based incremental learning for information-theoretic clustering
    Download  datamining.rutgers.edu
    Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
    Junjie Wu, Hui Xiong, Jian Chen
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 8 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    Download  www.biomedcentral.com
    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    ICML
    2005
    IEEE
    145views Machine Learning» more  ICML 2005»
    Bayesian hierarchical clustering
    14 years 8 months ago
    Bayesian hierarchical clustering
    Download  www.gatsby.ucl.ac.uk
    We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
    Katherine A. Heller, Zoubin Ghahramani
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