UGC NET CSE | November 2017 | Part 2 | Question: 48

Question

Which of the following is not a Clustering method?

• A. K-Means method
• B. Self Organizing feature map method
• C. K- nearest neighbor method
• D. Agglomerative method

Answer 1

In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression.

All others are clustering methods.

Option 3.

Answer 2

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining.

2)Self-Organizing Map Self Organizing Map (SOM) provides a data visualization technique. SOM also represents clustering concept by grouping similar data together.

3)k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression.

4)Agglomerative hierarchical clustering is a bottom-up clustering method where clusters have sub-clusters, which in turn have sub-clusters, etc.

Hence k nearest neighbour method is not used clustering.

Option C is correct.