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
of that bin by one. Then, a cumulative histogram is created by adding
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?
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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...?
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