8000 GitHub - kartik-thakker/K-SOM-k-means: A combined approach has been applied.A Kohonen self organizing map of a given data set containing only categorical variables is constructed. The output of the first part is used as input to k-means for clustering. It has been observed that it provides better results as compared to directly applying k-means.
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A combined approach has been applied.A Kohonen self organizing map of a given data set containing only categorical variables is constructed. The output of the first part is used as input to k-means for clustering. It has been observed that it provides better results as compared to directly applying k-means.

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K-SOM-k-means (2nd year project)

A combined approach has been applied.A Kohonen self organizing map of a given data set containing only categorical variables is constructed. The output of the first part is used as input to k-means for clustering. It has been observed that it provides better results as compared to directly applying k-means.

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A combined approach has been applied.A Kohonen self organizing map of a given data set containing only categorical variables is constructed. The output of the first part is used as input to k-means for clustering. It has been observed that it provides better results as compared to directly applying k-means.

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