A Classification of Arial Data Based on Data Mining Clustering Algorithm
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.
