Subtractive Mountain Algorithm for Data Processing

• Daniel Calin POPEANGA

  National University for Science and Technology Politehica Bucharest

• Alexandru BOICEA

  National University for Science and Technology Politehica Bucharest

• Yasser AL HADAD

  National University for Science and Technology Politehica Bucharest

The data clustering method is used in many data processing applications. This paper presents the Subtractive Mountain clustering algorithm which is based on adaptive Jaccard Index as a distance function. A case study is presented to test and analyze the performance of the algorithm compared to other algorithms. Ground truth method is used for evaluation.

DOI: 10.61416/ceai.v26i3.9206

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