Clustering algorithms difference
Question
What is the main difference between K-Means and K-Means++ algorithm?
in progress
0
Machine Learning
55 years
1 Answer
771 views
Member 0
Answer ( 1 )
K-means++ is the algorithm which is used to overcome the drawback posed by the k-means algorithm. This algorithm guarantees a more intelligent introduction of the centroids and improves the nature of the clustering. Apart from the initialization difference, these algorithms are more or less similar.