A Classification Study of Rain Fall Oscillation in Tamil Nadu with Effect on Agricultural Product Import
Joshua David *
Department of Statistics, Madras Christian College, Tambaram, Chennai, India.
Nivetha Vijayakumar
Department of Statistics, Madras Christian College, Tambaram, Chennai, India.
*Author to whom correspondence should be addressed.
Abstract
Trends in Indian rainfall records have been extensively studied but the subject remains complicated by the high spatiotemporal variability of rainfall arising from complex atmospheric dynamics. The aim of this work is to study the variation in rainfall pattern and classification of Agricultural products imports in Tamil Nadu. The dataset relates to monthly rainfall from various districts of Tamil Nadu for the period of January to December, from the Indian Meteorological Department we collected. The time frame of the data used in this study is 2007-2013. In this research article, we applied, K-means clustering technique and correspondence method. The cluster group are compared with agricultural product import during the year 2007 – 2013.
Keywords: K- means clustering, correspondence analysis, rainfall classification.