Which of the following is not a Clustering method ?

Correct answer: K - nearest neighbor method is not a clustering method.

Explanation: Clustering groups unlabeled data into groups based on similarity. Classification assigns labels to new samples using labeled training data.

• K - Mean method: A centroid-based clustering algorithm that partitions data into K clusters by minimizing within-cluster variance.

• Self Organizing feature map method: An unsupervised neural-network method that performs clustering and preserves topological relationships by mapping data to a lower-dimensional grid.

• Agglomerative method: A hierarchical clustering approach that builds clusters bottom-up by iteratively merging the closest clusters.

• K - nearest neighbor method: A supervised classification algorithm that assigns labels based on the labels of nearest neighbors. It requires labeled training data and does not group unlabeled data into clusters, so it is not a clustering method.

Conclusion: Among the given methods, K - nearest neighbor is a classification algorithm, not a clustering algorithm.