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    DSP
    2007
    81views Emerging Technology» more  DSP 2007»
    High performance noise reduction for biomedical multidimensional data
    13 years 4 months ago
    High performance noise reduction for biomedical multidimensional data
    Download  www.ac.uma.es
    Siham Tabik, Ester M. Garzón, Inmaculada Ga...
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    CCGRID
    2010
    IEEE
    235views Distributed And Parallel Com...» more  CCGRID 2010»
    High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
    13 years 5 months ago
    High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
    Download  grids.ucs.indiana.edu
    Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
    Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 6 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    GECCO
    2007
    Springer
    153views Optimization» more  GECCO 2007»
    Parallel genetic algorithm: assessment of performance in multidimensional scaling
    13 years 11 months ago
    Parallel genetic algorithm: assessment of performance in multidimensional scaling
    Download  www.cs.bham.ac.uk
    Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
    Antanas Zilinskas, Julius Zilinskas
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    ICDM
    2005
    IEEE
    189views Data Mining» more  ICDM 2005»
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    13 years 10 months ago
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    Download  www.cs.ust.hk
    We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
    Jie Yin, Qiang Yang
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