Continuing SVM clustering I planned to run over all machine learning methods using same two indicator features, and possibly same data, maybe with slight variations. Nothing here is checked in real life, so I can't guarantee anything. The K-means algorithm aims to choose centroids that minimize the inertia, or within-cluster sum of squared criterion: K-means clustered indicator […]
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