Tripathi, S.Sharma, A.K.Mishra, R. B.Pandey, B.2026-02-052016International Journal of Control Theory and Applications, 2016, 9, Specialissue11, pp. 5529-55409745572https://idr.nitk.ac.in/handle/123456789/26110In this paper K means Clustering Algorithm is used for clustering of candidate genes related to human episodic memory. The clustering of genes is based on gene-gene interaction score. The clusters are supposed to be formed so that distribution of cluster as well as overall interaction Score of clusters should be better. The K-means clustering technique applied to cluster the genes such as in tool STRING 9.1 provides cluster outcome. We compare the results of K means Clustering provided by STRING 9.1 with our K means Clustering Algorithm. The results obtained using K-means shows that clusters formed have better distribution of genes. © International Science Press.ClusteringEpisodic memoryGene-gene interactionInteraction scoreK-means