An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov–Smirnov two-sample test
نویسندگان
چکیده
منابع مشابه
An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov-Smirnov two-sample test
This paper proposes an adaptive algorithm for clustering cumulative probability distribution functions (c.p.d.f.) of a continuous random variable, observed in different populations, into the minimum homogeneous clusters, making no parametric assumptions about the c.p.d.f.’s. The distance function for clustering c.p.d.f.’s that is proposed is based on the KolmogorovSmirnov two sample statistic. ...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2015
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2014.12.027