文件名称:Clustering
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In multivariate statistics and the clustering of data, spectral clustering[1] techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The similarity matrix is provided as an input and consists of a quantitative assessment of the relative similarity of each pair of points in the dataset.
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压缩包 : Clustering.rar 列表 Clustering/.keystore Clustering/build.xml Clustering/Clustering.html Clustering/Clustering.ipr Clustering/Clustering.iws Clustering/Clustering.jnlp Clustering/Clustering.zip Clustering/GenKey.bat Clustering/SignJars.bat Clustering/src/cern/colt/matrix/linalg/LanczosDecomposition.java Clustering/src/com/trilogy/fs/raptor/clustering/ClusteringAlgorithm.java Clustering/src/com/trilogy/fs/raptor/clustering/Dot.java Clustering/src/com/trilogy/fs/raptor/clustering/DotCanvas.java Clustering/src/com/trilogy/fs/raptor/clustering/DotFrame.java Clustering/src/com/trilogy/fs/raptor/clustering/Main.java Clustering/src/com/trilogy/fs/raptor/clustering/Timer.java Clustering/src/com/trilogy/fs/raptor/clustering Clustering/src/cern/colt/matrix/linalg Clustering/src/com/trilogy/fs/raptor Clustering/src/cern/colt/matrix Clustering/src/com/trilogy/fs Clustering/src/cern/colt Clustering/src/com/trilogy Clustering/src/cern Clustering/src/com Clustering/src Clustering
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