K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...
Understanding data encoding and normalization is an absolutely essential skill when working with neural networks. James McCaffrey walks you through what you need to know to get started. Dealing with ...
The issue of numeric precision affects the return values of almost all SAS System math functions and many numeric values returned from SAS System procedures. Numeric values in the SAS System for UNIX ...
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