clustering .NET Archives

Drawing Dendrograms

Posted on February 3, 2010February 7, 2023 by Ken Baldwin

A dendrogram is a tree diagram often used to visualize the results of hierarchical clustering. A customer recently contacted us asking for help drawing dendrograms from the output of the hierarchical clustering algorithm in NMath Stats. See here. UserZoom is an international software company specializing in web customer experience and usability testing. UserZoom software includes a tool to run o...
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Cluster Analysis, Part V: Monte Carlo NMF

Posted on January 11, 2010August 31, 2020 by Ken Baldwin

In this continuing series, we explore the NMath Stats functions for performing cluster analysis. (For previous posts, see Part 1 - PCA , Part 2 - K-Means, Part 3 - Hierarchical, and Part 4 - NMF.) 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 Mic...
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Cluster Analysis, Part IV: Non-negative Matrix Factorization (NMF)

Posted on January 6, 2010February 7, 2023 by Ken Baldwin

In this continuing series, we explore the NMath Stats functions for performing cluster analysis. (For previous posts, see Part 1 - PCA , Part 2 - K-Means, and Part 3 - Hierarchical.) 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 C...
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Clustering Analysis, Part III: Hierarchical Cluster Analysis

Posted on December 28, 2009February 7, 2023 by Ken Baldwin

In this continuing series, we explore the NMath Stats functions for performing cluster analysis. (For previous posts, see Part 1 - PCA and Part 2 - K-Means.) 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 p...
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Clustering Analysis, Part II: K-Means Clustering

Posted on December 21, 2009February 7, 2023 by Ken Baldwin

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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