Book Chapter

Clustering from Data Streams

Springer Science+Business Media, (2017), 226-231
DOI: 10.1007/978-1-4899-7687-1_41
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Abstract

Clustering is one of the most popular data mining techniques. In this article, we review the relevant methods and algorithms for designing cluster algorithms under the data streams computational model, and discuss research directions in tracking evolving clusters.

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APA

Gama, J. (2017). Clustering from Data Streams. In Encyclopedia of Machine Learning and Data Mining (pp. 226–231). Springer Science+Business Media. https://doi.org/10.1007/978-1-4899-7687-1_41

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