A Classification of Arial Data Based on Data Mining Clustering Algorithm

Authors

  • Dr. Vuda.Sreenivasarao

  • Dr.P.Ramesh P.V.V.S.Gangadhar

  • Dr.G.Ramaswamy

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

How to Cite

Dr. Vuda.Sreenivasarao, Dr.P.Ramesh P.V.V.S.Gangadhar, & Dr.G.Ramaswamy. (2011). A Classification of Arial Data Based on Data Mining Clustering Algorithm. Global Journal of Computer Science and Technology, 11(22), 77–81. Retrieved from https://computerresearch.org/index.php/computer/article/view/865

A Classification of Arial Data Based on Data Mining Clustering Algorithm

Published

2011-08-15