9An Enhanced K-Means Algorithm for Large Data Clustering in Social Media Networks
R. Tamilselvan1*, A. Prabhu2 and R. Rajagopal3
1Chaitanya Bharathi Institute of Technology, Hyderabad, India
2CMR Technical Campus, Secunderabad, Hyderabad, India
3Alliance College of Engineering & Design Alliance University, Bengaluru, India
Abstract
When given a large-scale set of data, data analysis becomes more difficult. Identifying societies or consumers’ shared interests is particularly important for social network analysis. The enhanced information grouping for basic in interpersonal organization examination utilized in planning high dimensional information for successful information mining. The refined chart development in many existing works uses content of information as it were. The visual appraisal of information comprises of boisterous and scanty issue happen in refined diagram which makes the subsequent chart shaky and untrustworthy. Web-based media network information additionally contain connect data which gives comprises of (1) diagram development high-dimensional, quality worth information, for example, Facebook posts, tweets, remarks, and pictures, and (2) connected information that portrays the connections between web-based media clients just as who post the posts, and so on Existing works use the information interface for information bunching frequently inadequate, which means after effect of refined diagram are fragmented. The web-based media organization, the substance ...
Get Artificial Intelligence for Sustainable Applications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.