Now showing items 1-3 of 3

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      DIMK-means" Distance-based Initialization Method for K-means Clustering Algorithm"

      Aldahdooh, Raed T; Ashour, Wesam M. (Modern Education and Computer Science Press, 2013)
      Partition-based clustering technique is one of several clustering techniques that attempt to directly decompose the dataset into a set of disjoint clusters. K-means algorithm dependence on partition-based clustering technique ...
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      DSMK-means “Density-based Split-and-Merge K-means clustering Algorithm”

      Aldahdooh, Raed T; Ashour, Wesam M. (De Gruyter Open, 2013)
      Clustering is widely used to explore and understand large collections of data. K-means clustering method is one of the most popular approaches due to its ease of use and simplicity to implement. This paper introduces ...
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      EOPTICS “Enhancement Ordering Points to Identify the Clustering Structure”

      Alzaalan, Mahmoud; Aldahdooh, Raed T; Ashour, Wesam M. (International Journal of Computer Applications, 244 5 th Avenue,# 1526, New York, NY 10001, USA India, 2012)
      Grouping a set of physical or abstract objects into classes of similar objects is a process of clustering. Clustering is very important technique in statistical data analysis. Among the clustering methods, density-based ...