Hybrid data clustering approach using K-Means and Flower Pollination Algorithm

Autor: Jensi, R., Jiji, G. Wiselin

Data clustering is a technique for clustering set of objects into known number of groups. Several approaches are widely applied to data clustering so that objects within the clusters are similar and objects in different clusters are far away from eac

Externí odkaz: http://arxiv.org/abs/1505.03236

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Autor: Jensi R

Publikováno v: Journal of Advances in Computer Engineering and Technology, Vol 5, Iss 2, Pp 93-106 (2019)

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorit

Externí odkaz: https://doaj.org/article/4650a6cb8d0e4579889feae825410bf7

An enhanced particle swarm optimization with levy flight for global optimization

Autor: Jensi, R., Jiji, G. Wiselin

Publikováno v: In Applied Soft Computing June 2016 43:248-261

Somatostatin receptor subtype 3 mediates the inhibitory action of somatostatin on gastric smooth muscle cells.

Autor: Gu ZF; Digestive Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda,Maryland 20892, USA., Corleto VD, Mantey SA, Coy DH, Maton PN, Jensi RT

Publikováno v: The American journal of physiology [Am J Physiol] 1995 May; Vol. 268 (5 Pt 1), pp. G739-48.