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    ICML
    2005
    IEEE
    145views Machine Learning» more  ICML 2005»
    Bayesian hierarchical clustering
    14 years 9 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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    BMCBI
    2007
    156views more  BMCBI 2007»
    Large-scale clustering of CAGE tag expression data
    13 years 8 months ago
    Large-scale clustering of CAGE tag expression data
    Download  www.biomedcentral.com
    Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
    Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
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    MUE
    2007
    IEEE
    190views Multimedia» more  MUE 2007»
    On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
    14 years 2 months ago
    On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
    Download  mind.cp.eng.chula.ac.th
    After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
    Vit Niennattrakul, Chotirat Ann Ratanamahatana
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    KDD
    2005
    ACM
    124views Data Mining» more  KDD 2005»
    A multinomial clustering model for fast simulation of computer architecture designs
    14 years 8 months ago
    A multinomial clustering model for fast simulation of computer architecture designs
    Download  www.ece.neu.edu
    Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
    Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
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    PRIS
    2004
    169views Pattern Recognition» more  PRIS 2004»
    Comparison of Combination Methods using Spectral Clustering Ensembles
    13 years 9 months ago
    Comparison of Combination Methods using Spectral Clustering Ensembles
    Download  www.deetc.isel.ipl.pt
    We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
    André Lourenço, Ana L. N. Fred
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