A Classification of Arial Data Based on Data Mining Clustering Algorithm
Keywords:
Data mining, Arial data, cluster algorithm, Principal Component Analysis
Abstract
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
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Published
2011-08-15
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Copyright (c) 2011 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.