UGC-NET | UGC-NET CS 2017 Dec 2 | Question 48
Which of the following is not a Clustering method ?
(A) K – Mean method
(B) Self Organizing feature map method
(C) K – nearest neighbor method
(D) Agglomerative method
Explanation: k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining.
Self-Organizing Map Self Organizing Map (SOM) provides a data visualization technique. SOM also represents clustering concept by grouping similar data together.
k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression.
Agglomerative hierarchical clustering is a bottom-up clustering method where clusters have sub-clusters, which in turn have sub-clusters, etc.
Option (C) is correct.