Nature inspired optimization Algorithms based hybrid clustering Mechanisms for medical data

Abstract

Today the presents of data availability increase more and more newlinein every field of engineering and technologies in more complex way. newlineFrom this availability of data set, medical data clustering is very newlineimportant task to handle in effective manner to take proper decision. newlineThere are thousands and thousands of clustering algorithms from newlinetraditional clustering algorithms to hybrid nature inspired global newlineoptimized centroid-based clustering. From traditional clustering newlinealgorithms, K-Means is the most popular, faster and most effective newlinepartitioned clustering algorithm. K-Means is the more sensitive for newlineinitial clustering centroid and also goes for premature convergence. So newlinehere in need of proper global optimization-based clustering technique to newlinecluster the medical data. But it takes more computation cost due to more newlinecomputation steps. Optimization centroid based clustering technique is newlineused to produce optimum centroid for the clustering and traditional newlineclustering algorithm is used to cluster the data. So, to get advantages of newlineboth traditional clustering algorithm (which produce faster clustering newlineand low computation cost) and global optimization technique (which newlineproduce optimum clustering centroid), this research proposed hybrid newlineglobal optimization technique, which is the combination of traditional newlineclustering with global optimization technique for optimum clustering newlinecentroid. Then based on this clustering centroid optimum clustering newlinesolution is performed by traditional K-means clustering algorithm. newlineRainfall Flow Optimization also same as other optimization technique newlinelike Particle Swarm Optimization (PSO), Fish Schooling Optimization newline(FSO), Bio-Geography optimization, Sunflower Optimization, Rider newlineix newlineoptimization, etc., Rainfall Flow Optimization works based on the newlineconcept of water-flow from shallow to depth. Some mathematical and newlinescientific calculations also done for this water-flow from one position to newlineanother position based on current position neighboring position of newlinewater-flow, current velocity, maximum depth