Question

K-means, self-organizing maps, hierarchical clustering are the example of​
​

Answer 1

Comparison between K-means and Self-Organizing Maps algorithms used for diagnosis spinal column patients

The self-organizing map (SOM) has emerged as one of the popular choices for clustering data; however, when it comes to point density accuracy of codebooks or reliability and interpretability of the map, the SOM leaves much to be desired. In this paper, we compare the newly developed K-means hierarchical (KMH) clustering algorithm to the SOM.

if it is useful please mark me as brainliest

if it is not useful please rate me