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Title: PCA Download
 Description: Principal Component Analysis • Uses: – Data Visualization – Data Reduction – Data Classification – Trend Analysis – Factor Analysis – Noise Reduction • Examples: – How many unique “sub-sets” are in the sample? – How are they similar/different? – What are the underlying factors that influence the samples? – Which time/temporal trends are (anti)correlated? – Which measurements are needed to differentiate? – How to best present what is “interesting”? – Which “sub-set” does this new sample rightfully belong?
 Downloaders recently: [More information of uploader littletatyana]
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  • [classification] - classification test and observed data
  • [CNN] - - usage of Centroid Neural Networks- ex)
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PCA.pdf
    

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