期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2018
卷号：58
期号：2
页码：82-84
DOI：10.14445/22312803/IJCTT-V58P113
出版社：Seventh Sense Research Group
摘要：The information is currently used for wide range of applications. Data mining is a logical process that is used to search through large amount of data in order to find useful data. Data mining is studied for different databases. For the proper utilization of data the data analytics techniques are applied on the data. Data analytics uses clustering, normalization, etc. Clustering is the process of organizing the objects into groups whose members are similar in some way to others. Lot of work is done in this field by different researchers. In this work the new data analytics technique is proposed. The base technique is modified by the new proposed technique. New technique uses the min max function instead of the scaling. The new technique is proposed, designed, implemented in the R language. The results obtained and analysed. The new proposed technique gives the better and compact clusters.
关键词：Data Mining; K-Means Clustering; Data analytics; normalization; Min Max Function.
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