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- W4367677004 abstract "Finding related information within a cluster is done using a technique called clustering. The dataset cluster uses the data's maximum and minimum values to group together similar data. Clustering is a process in which matter has been split into groups and grouped based on a rule to maximize within-group similarity and minimize between-group difference likeness. In this chapter, the authors examine and contrast the various group analysis techniques and algorithms employed by Rapid Miner. Multiple clustering methods have been developed. In the chapter, two types of clustering for algorithms are analyzed. One area of mall patrons was evaluated. The data set is used with Rapid Miner tools to determine the proper cluster." @default.
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- W4367677004 date "2023-05-26" @default.
- W4367677004 modified "2023-10-16" @default.
- W4367677004 title "Mall Customer Segmentation Engine Through Clustering Analysis" @default.
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- W4367677004 doi "https://doi.org/10.4018/978-1-6684-7105-0.ch006" @default.
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