Samih M. Mostafa1,2,*
Journal on Artificial Intelligence, Vol.2, No.4, pp. 189-215, 2020, DOI:10.32604/jai.2020.014944
Abstract Because of the abundance of clustering methods, comparing between
methods and determining which method is proper for a given dataset is crucial.
Especially, the availability of huge experimental datasets and transactional and
the emerging requirements for data mining and the like needs badly for
clustering algorithms that can be applied in various domains. This paper presents
essential notions of clustering and offers an overview of the significant features
of the most common representative clustering algorithms of clustering categories
presented in a comparative way. More specifically the study is based on the
numerical type of the data that the algorithm supports,… More >
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