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- W2164490609 abstract "Clustering is the process of grouping a set of objects into classes. The clustering problem has been addressed by researchers in many contexts and disciplines. First, a process model for data mining and the typical requirements of clustering methods have been described. Second, the k-means algorithm and its advantages and disadvantages are introduced. Then the Iris dataset is used to specify the k-means algorithm. A taxonomy of clustering algorithms and complexity of several algorithms are listed in the end." @default.
- W2164490609 created "2016-06-24" @default.
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- W2164490609 date "2011-05-01" @default.
- W2164490609 modified "2023-09-26" @default.
- W2164490609 title "A brief study on clustering methods: Based on the k-means algorithm" @default.
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- W2164490609 doi "https://doi.org/10.1109/icebeg.2011.5881902" @default.
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