Data Clustering: 50 Years Beyond K-means

  • Jain A
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Abstract

The practice of classifying objects according to perceived similarities is the basis for much of science. Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific...

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Jain, A. K. (2008). Data Clustering: 50 Years Beyond K-means. In Machine Learning and Knowledge Discovery in Databases (pp. 3–4). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-87479-9_3

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