k-means

Clustering Analysis, Part II: K-Means Clustering

In this continuing series, we explore the NMath Stats functions for performing cluster analysis in .NET. (For previous posts, see here.) The sample data set we're using classifies 89 single malt scotch whiskies on a five-point scale (0-4) for 12 flavor characteristics. To visualize the data set and clusterings, we make use of the free Microsoft Chart Controls for .NET, which provide a basic set of...
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