Volume 08 Issue 02, March 2020

Survey on Optimizing Initial Cluster Center Based on Data Analysis Using K-Means Clustering Algorithm

Chetali Makode, Kedar Nath Singh

Page no:01-04


As a partition primarily based bunch algorithmic rule, K-Means is wide utilized in several areas for the options of its efficiency and simply understood. However, it's documented that the K-Means algorithmic rule could get suboptimal solutions, depending on the selection of the initial cluster centers. During this paper, they propose a projection-based K-Means data format algorithmic rule. The planned algorithmic rule initially uses a typical mathematician kernel density estimation technique to search out the extremely density information areas in one dimension. Then the projection step is to iteratively use density estimation from the lower variance dimensions to the upper variance ones till all the scale is computed. Experiments on actual datasets show that our technique will get similar results compared with different typical strategies with fewer computation tasks this paper reviews numerous strategies and techniques utilized in literature and its benefits and limitations, to research the more would like of improvement of the k-means algorithmic rule. Planned algorithmic rule (PAVSM) increased information analysis.

Possibilities of E-Commerce in Rural Areas of the Harda District in Madya Pradesh

Dr. Rashmi Singh

Page no:05-07


Currently, globalization and e-commerce tied the whole world together. Due to globalization market has been very strong. Ecommerce made it very easy. The impact of e-commerce is felt to be reflected in Indian social and economic sector. Online shopping has become commonplace for the public (especially in urban areas). The number of online shopping websites in India is growing rapidly. After the Demonetization on November 8, 2016, the region is expected to expand more. Currently, government policies are to promote e-commerce activities. However, India is still a developing country and here is the need to strengthen infrastructure (improvements in education, electric supply, communication in rural areas such as mobile communications, the Internet network extension etc.). The study of the area is Madya Pradesh here 73% population living in the rural area and the present scenario e-commerce can play a more important role in rural development in Madya Pradesh. There are more necessities to developing rural community by creating digital infrastructure. The rural market also the highest no of commerce as the most productive and more seller market and set on the path.