Performance Analysis of K-Mean Clustering on Normalized and Un-Normalized Information in Data Mining

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Data mining is used for extract the useful information and clustering is the concept used to groups which can be creating by identifying similar kind of data and this can done by identify one or more attributes or classes. There are different types of clustering techniques such as K-means clustering etc. The analysis has been done using the K-means clustering technique and by normalizes the data using data mining normalization techniques. Furthermore, this paper is about the study of data such as normalized data and un-normalized data and analyzes the data using clustering algorithm such as k-means clustering algorithm.
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