Fuzzy Bio-Inspired K-Nearest Neighbor Techniques for Spatial Data Analysis in Coimbatore Region

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B. Murugesakumar, Dr. K. Anandakumar, Dr. A. Bharathi

Abstract

In this research work, agricultural Data Mining data are summarized. An improved Soil Data Prediction Model is developed to estimate the above parameters at locations for Coimbatore city. 142 locations were investigated for the development of the model. The model involves multiple regression equation, chi-square test and Bio inspired K-Nearest Neighbor classification. The correlation analysis measures the degree of association between two sets of quantitative data, while regression analysis explains the variation in one variable, based on the variation in one or more of these variables.

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How to Cite
, B. M. D. K. A. D. A. B. (2017). Fuzzy Bio-Inspired K-Nearest Neighbor Techniques for Spatial Data Analysis in Coimbatore Region. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 3(12), 87–91. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/371
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