Abstract
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