On Clustering Validation Techniques

作者:Maria Halkidi, Yannis Batistakis, Michalis Vazirgiannis

摘要

Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in large data sets. It has been subject of wide research since it arises in many application domains in engineering, business and social sciences. Especially, in the last years the availability of huge transactional and experimental data sets and the arising requirements for data mining created needs for clustering algorithms that scale and can be applied in diverse domains.

论文关键词:clustering algorithms, unsupervised learning, cluster validity, validity indices

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论文官网地址:https://doi.org/10.1023/A:1012801612483