BIRCH: An Efficient Data Clustering Method for Very Large Databases

Abstract

Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely studied problems in this area is the identification of <i>clusters,</i> or densely populated regions, in a multi-dimensional dataset. Prior work does not adequately address the problem of large datasets and minimization of I/O costs.This paper… (More)
DOI: 10.1145/233269.233324
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