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I know that within sum of squares, DB, sillhouette and cophenetic are indicators of clustering quality, but what indicators I need to observe when I choose attributes for kmeans? -- View this message in context: http://r.789695.n4.nabble.com...
What characteristics makes attribute great for kmeans clustering and how do you measure these characteristics? Do you look at the distribution shape, correlation matrix between attributes, pairs graphs, statistical tests...? -- View this message in context: http://r.789695.n4.nabble...
I read about histogram equalization of dataset. It is commonly used for image data. It is written: Each variable in dataset is assigned to one bin. Then, each variable in the dataset is assigned to one bin, incrementing the value...
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