Open AccessAn Effective Technique on Clustering in Perspective of Huge Data Set
Author(s) -
Muhammad Kalamuddin Ahamad,
Ajay Kumar Bharti
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9185.038620
Subject(s) - cluster analysis , computer science , data mining , perspective (graphical) , set (abstract data type) , field (mathematics) , cluster (spacecraft) , object (grammar) , artificial neural network , fuzzy clustering , data set , fuzzy logic , artificial intelligence , machine learning , mathematics , pure mathematics , programming language
Analysis of data plays a crucial job considering the different phenomenon. It explores the prior knowledge, consisting of development across the extensively different communities. Cluster technique is the collecting of data object placed into groups. Therefore objects are the same nature or similar place within a cluster different nature (i.e. dissimilar) put in other cluster. Differences and likeness are refereed on the attribute values say that the objects involved in measuring distance. We have reviewed a few clustering techniques for data sets in data mining of various field of computer science and engineering, statistical, machine learning and a novel attracting field of demanding efforts. Several closely related concepts of neural network, fuzzy and genetic algorithm are also discussed. In this research paper to also discussed the facebook data set to mining the attributes from the cluster set to changing the mean square error 0-10 -6 and also discuss measuring the performance.