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Fuzzy cluster analysis is one of the advanced topics in statistics, which is a tool that assesses the relationships among samples of data set ( many attributes and many observations) by organizing the attributes into different clusters, each observations is belong to any cluster with probability between [0,1]. The fuzzy cluster analysis applied in many fields for example, medicine, cures of diseases or symptoms of diseases, psychiatry, data mining, image processes, pattern recognition, information retrieval.

Produktbeschreibung
Fuzzy cluster analysis is one of the advanced topics in statistics, which is a tool that assesses the relationships among samples of data set ( many attributes and many observations) by organizing the attributes into different clusters, each observations is belong to any cluster with probability between [0,1]. The fuzzy cluster analysis applied in many fields for example, medicine, cures of diseases or symptoms of diseases, psychiatry, data mining, image processes, pattern recognition, information retrieval.
Autorenporträt
Rand Mohanned Alsheikly Rand Mohanned has obtained master's degree in science in mathematics in 2013, and I teaching in mathematics prof.Iden Hasan Alkanani has obtained his Ph.D degree in mathematical statistics at 1997. I published many articles(37), and supervised many theses (24)