首页    期刊浏览 2025年05月31日 星期六
登录注册

文章基本信息

  • 标题:Clustering the Indian States on the Basis of Agriculture Produce of KHARIF and RABI Crops
  • 本地全文:下载
  • 作者:Raj Kumar Tripathi ; Nishtha Kesswani
  • 期刊名称:International Journal of Electronics Communication and Computer Technology
  • 印刷版ISSN:2249-7838
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:1-74
  • 出版社:International Journal of Electronics Communication and Computer Technology
  • 摘要:Agriculture arguably the backbone of India's economy is highly dependent on spatial and temporal distribution of monsoon rainfalls. This paper represents the concept of clustering and use the centroid based technique k-means algorithm. The data of foodgrain production of Kharif and Rabi during the last 10 years has been obtained from [6]. Use the k-means algorithm on the gathered data to generate the clusters of Indian states which gives the similar productions of crops. The states in India have been clustered into 3 clusters using k-means clustering algorithm. The experiments done in SPSS indicate that some states fall into the same cluster as per the produce of Rabi and some fall into the same cluster as per the produce of Kharif crops
  • 关键词:Economy; spatial; temporal; clustering; k-means; Kharif; ;Rabi.
国家哲学社会科学文献中心版权所有