Data Warehousing and Data Mining20815 marksClustering techniques
Differentiate between k-means and k-medoids clustering algorithm.
Differentiate between k-means and k-medoids clustering algorithm. [5]
Both K-Means and K-Medoids are partitioning-based clustering algorithms that divide a dataset of n objects into k clusters. However, they differ significantly in how they represent cluster centers and handle data. --- Feature K-Means K-Medoids --------- Center Representation Uses the mean (averag...