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This documentation is for astroML version 0.4

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Chapter 6: Searching for Structure in Point Data

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Chapter 6: Searching for Structure in Point Data¶

This chapter covers high-dimensional point statistics, including density estimation, clustering, and correlation functions.

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Histogram vs Kernel Density Estimation¶

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Example Kernels¶

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Great Wall KDE¶

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Great Wall Density¶

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Comparison of 1D Density Estimators¶

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EM example: Gaussian Mixture Models¶

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Mixture Model of SDSS Great Wall¶

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Comparison of 1D Density Estimators¶

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Number of Clusters for Gaussian Mixtures¶

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Cloning a Distribution with Gaussian Mixtures¶

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Extreme Deconvolution example¶

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Extreme Deconvolution of Stellar Data¶

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EM example: K-means¶

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Mean Shift Example¶

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Euclidean Minimum Spanning Tree¶

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Diagramatic Description of n-point Correlations¶

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Angular Two-point Correlation Function¶