A Survey Of K-Means And GA-KM The Hybrid Clustering Algorithm
Journal: International Journal of Scientific & Technology Research (Vol.3, No. 6)Publication Date: 2014-06-15
Authors : Yogita chauhan; Vaibhav Chaurasia; Chetan Agarwal;
Page : 119-122
Keywords : Index Terms Evolutionary data mining; clustering; Partitioning methods; K-Means clustering algorithm; Genetic algorithm; GAKM algorithm; biomedical data;
Abstract
Abstract In this paper we present application of hybrid clustering algorithm that combines partitioning clustering algorithm and heuristic search algorithm. Our method uses portioning method with Genetic algorithm . First we cluster the data using K-Means clustering algorithm with the value of K no. of clusters then we calculate the centroid of K cluster obtain from the previous step. Than we apply Genetic algorithm for centroids for the given value K clusters GAKM. After applying the GAKM we compare the result of simple K-Means and GAKM algorithm .our experimental results shows that the cluster obtained from GAKM are provides more optimal result in comparison of simple K-Means algorithm cluster result.
Other Latest Articles
- Investigating The Parameters For The Performance Enhancement Of A Solar Air Heater Having Different Artificially Roughened Geometries
- Design Of Area And Speed Efficient Square Root Carry Select Adder Using Fast Adders
- Analysis Of IT Business Process Requirements With A Finite Automaton Based Algorithm
- Free Vibration Mode Shape Analysis And Fabrication Of The Roll Cage For All-Terrain Vehicle Based On FEA
- Design Of Welding Fixture For Head End Sub-Assembly Of Motor Case
Last modified: 2015-06-28 03:57:56