global-journal-of-computer-science-and-technology Global Journal of Computer Science and Technology 0975-4350 0975-4172 Global Journals Publishing Group Incorporated 73667 A Classification of Arial Data Based on Data Mining Clustering Algorithm Vuda.SreenivasaraoDr. P.V.V.S.GangadharDr.P.Ramesh Dr.G.Ramaswamy INDIA, JNTU 23 12 2011 11 22 77 81

The Arial data contains date periodically observed with parameters of texture (min, max), flora, and density (min, max). The proposed Arial prediction system cluster and analyze, three input features that is average texture, flora, average density according to number of days to predict Arial for Surveillance applications. The proposed system realizes the k-means clustering algorithm for grouping similar features based on user intended period, further the system analyze using PCA (Principal Component Analysis) on same data.

 Data mining Arial data cluster algorithm Principal Component Analysis. Full Text

The Arial data contains date periodically observed with parameters of texture (min, max), flora, and density (min, max). The proposed Arial prediction system cluster and analyze, three input features that is average texture, flora, average density according to number of days to predict Arial for Surveillance applications. The proposed system realizes the k-means clustering algorithm for grouping similar features based on user intended period, further the system analyze using PCA (Principal Component Analysis) on same data.