November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Macro-cluster
When a more robust clustering is either demanded by the user or by the application, the offline stage kicks off. Here the micro-clusters generated in the online steps are used as initial centers. A more rigorous clustering is performed in the background to generate the final list of clusters, called a macro-cluster. Since this is not time-critical, it can be executed the same way we work on data at rest.
For more on online/offline processing, refer to A Framework for Clustering Evolving Data Streams, by Aggarwal CC, Han J, Wang J, Yu PS (2003)." In Proceedings of the International Conference on Very Large Data Bases (VLDB '03), pp. 81- 92.
For a more rigorous treatment of the various stream data clustering algorithm, please ...
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