Fuzzy Cluster Analysis With Application on Atherosclerosis Disease

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.

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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)