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Learning SciPy for Numerical and Scientific Computing by Francisco J. Blanco-Silva

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Chapter 6. SciPy for Data Mining

This section deals with those branches of mathematics that treat the collection, organization, analysis, and interpretation of data. The different applications and operations spread over several modules and submodules – scipy.stats (for purely statistical tools), scipy.ndimage.measurements (for analysis and organization of data), scipy.spatial (for spatial algorithms and data structures), and finally the clustering package scipy.cluster, with its two submodules – scipy.cluster.vq (vector quantization) and scipy.cluster.hierarchy (for hierarchical and agglomerative clustering).

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We often require the analysis of data in which certain features are grouped in different regions, each with different ...

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