Data Warehousing and Data Mining20795 marksClustering techniques
Discuss the concept of K-means++ and Mini-batch K-means algorithm.
Discuss the concept of K-means++ and Mini-batch K-means algorithm. [5]
--- In the standard K-means algorithm, the initial cluster centers (centroids) are chosen randomly. This random initialization leads to a problem called initialization sensitivity, where the final clusters formed depend heavily on which points were chosen initially. Poor initialization can result...