A Study of Various Clustering Algorithms on Retail Sales Data

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Provided by: The World
Topic: Data Management
Format: PDF
The process of knowledge discovery executes in an iterative sequence of steps such as cleaning of data, its integration, its selection, & transformation of data, data mining, evaluating patterns and presentation of knowledge. Data mining is the process of extraction of Hidden knowledge from the databases. Clustering is one the important functionality of the data mining clustering is an adaptive methodology in which objects are grouped together, based on the principle of optimizing the inside class similarity and minimizing the class-class similarity. Various clustering algorithms have been developed resulting in a better performance on datasets for clustering.
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