Why KMeans May Not Be The Apt Clustering Algorithm Always
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KMeans is a popular clustering algorithm. Yet, its limitations make it inapplicable in many cases. For instance, KMeans clusters the points purely based on locality from centroids. Thus, it can create wrong clusters when data points have arbitrary shapes.
Why KMeans May Not Be The Apt Clustering Algorithm Always
Why KMeans May Not Be The Apt Clustering…
Why KMeans May Not Be The Apt Clustering Algorithm Always
KMeans is a popular clustering algorithm. Yet, its limitations make it inapplicable in many cases. For instance, KMeans clusters the points purely based on locality from centroids. Thus, it can create wrong clusters when data points have arbitrary shapes.