Sep 14, 2020
4 min read
6 Factors That Makes K-Means a Popular Clustering Algorithm
Scalability, Pre-Clustering, and Many More
K-means clustering isn’t the best clustering algorithm out there. It isn’t highly accurate because K-means assumes all clusters to be even in size and spherical in shape. K-means also can’t handle complex geometry. It is specifically useful only for flat geometry clusters. And outliers, if…
