[Case Study]Data Mining CLARA Algorithm in R[R资源]

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An obvious way of clustering larger datasets is to try and extend existing methods so that they can cope with a larger number of objects. The focus is on clustering large numbers of objects rather than a small number of objects in high dimensions. Kaufman and Rousseeuw (1990) suggested the CLARA (Clustering for Large Applications) algorithm for tackling large applications. CLARA extends their k-medoids approach for a large number of objects. It works by clustering a sample from the dataset and then assigns all objects in the dataset to these clusters.

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Data Mining CLARA Algorithms using R.pdf (1.99 MB)

2015-2-11 03:18:17 上传

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关键词：Data Mining Case study Algorithm study Data tackling existing methods numbers objects

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Data Mining CLARA Algorithm in R