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    NIPS
    2004
    88views Information Technology» more  NIPS 2004»
    Spike Sorting: Bayesian Clustering of Non-Stationary Data
    13 years 9 months ago
    Spike Sorting: Bayesian Clustering of Non-Stationary Data
    Download  books.nips.cc
    Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
    Aharon Bar-Hillel, Adam Spiro, Eran Stark
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    IEEECIT
    2009
    IEEE
    184views Information Technology» more  IEEECIT 2009»
    Clustering of Software Systems Using New Hybrid Algorithms
    14 years 2 months ago
    Clustering of Software Systems Using New Hybrid Algorithms
    Download  ceit.aut.ac.ir
    —Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
    Ali Safari Mamaghani, Mohammad Reza Meybodi
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    CEC
    2009
    IEEE
    128views Artificial Intelligence» more  CEC 2009»
    A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
    14 years 2 months ago
    A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
    Download  dces.essex.ac.uk
    Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
    Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
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    PPOPP
    2003
    ACM
    175views Distributed And Parallel Com...» more  PPOPP 2003»
    Optimizing data aggregation for cluster-based internet services
    14 years 24 days ago
    Optimizing data aggregation for cluster-based internet services
    Download  www.cs.ucsb.edu
    Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
    Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
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    PODS
    2008
    ACM
    159views Database» more  PODS 2008»
    Approximation algorithms for clustering uncertain data
    14 years 7 months ago
    Approximation algorithms for clustering uncertain data
    Download  dimacs.rutgers.edu
    There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
    Graham Cormode, Andrew McGregor
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