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Kmeans clustering in python - Giving original labels to predicted clusters
I have a dataset with 7 labels in the target variable.X = data.drop('target', axis=1) Y = data['target'] Y.unique()array(['Normal_Weight', 'Overweight_Level_I', 'Overweig...
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how to choose the number of clusters based on intertia and based on silhouette using K-means
how to choose the number of clusters based on intertia and based on silhouette using K-means
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What is k-means algorithm and how can we select K for it?
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