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A Multi-Criteria Decision Method in the DBSCAN Algorithm for Better Clustering

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Academic year: 2017

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TABLE I.   C OMPARISON OF  R ESULTS  B ETWEEN  T WO  A LGORITHMS : DBSCAN  AND  MC-DBSCAN
Fig. 2.  Assimilation of the number of class obtained and the percentage of unclassified objects to the database "Color Histogram" between the two algorithms  DBSCAN and MC-DBSCAN
Fig. 4.  Test result applied to the database "Color Histogram" by increasing the size of DataSet (Number of class obtained by increasing the size)

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