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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    13 years 8 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
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    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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    IJCV
    2007
    115views more  IJCV 2007»
    Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
    13 years 8 months ago
    Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
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    This paper describes work aimed at the unsupervised learning of shape-classes from shock trees. We commence by considering how to compute the edit distance between weighted trees. ...
    Andrea Torsello, Antonio Robles-Kelly, Edwin R. Ha...
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    INFORMATICALT
    2008
    92views more  INFORMATICALT 2008»
    On Structural Analysis of Parliamentarian Voting Data
    13 years 8 months ago
    On Structural Analysis of Parliamentarian Voting Data
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    We investigate applicability of quantitative methods to discover the most fundamental structural properties of the most reliable political data in Lithuania. Namely, we analyze vot...
    Tomas Krilavicius, Antanas Zilinskas
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    13 years 8 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
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    Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
    Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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    PRL
    2006
    207views more  PRL 2006»
    On-line trajectory clustering for anomalous events detection
    13 years 8 months ago
    On-line trajectory clustering for anomalous events detection
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    In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
    Claudio Piciarelli, Gian Luca Foresti
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