A Survey on Clustering Algorithms and K-Means

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Provided by: The International Journal of Research in Engineering Technology and Management (IJRETM)
Topic: Data Management
Format: PDF
The overall goal of data mining process is to extract information from a large data set and transfer it into an understandable form for future use. Clustering is important in data analysis and data mining applications. Clustering is a division of data into group of similar objects. Each group called a cluster consists of objects that are similar between themselves and dissimilar between compare to objects of other groups. This paper is aimed to study of all the clustering algorithms.
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