The k-means clustering technique: General considerations and implementation in Mathematica
نویسندگان
چکیده
منابع مشابه
The k-means clustering technique: General considerations and implementation in Mathematica
Data clustering techniques are valuable tools for researchers working with large databases of multivariate data. In this tutorial, we present a simple yet powerful one: the k-means clustering technique, through three different algorithms: the Forgy/Lloyd, algorithm, the MacQueen algorithm and the Hartigan & Wong algorithm. We then present an implementation in Mathematica and various examples of...
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ژورنال
عنوان ژورنال: Tutorials in Quantitative Methods for Psychology
سال: 2013
ISSN: 1913-4126
DOI: 10.20982/tqmp.09.1.p015