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- W2894820603 abstract "Affinity Propagation (AP) is exemplar-based clustering algorithm, this algorithmdoes not require prior knowledge of the number of clusters. The quality of clustering results is highly dependent on the preference value. Standard AP algorithm take preference value based on median or minimum value of similarity matrix, then the value is shared to all preference value on similarity matrix. This method does not give the best solution, because the value not represent the overall data structure. The Modified AP (M-AP) is proposed to resolve this problem. M-AP algorithmtake preference value based on data distribution on each row from similarity matrix. Experimental result show that M-AP cat outperform AP in quality clustering result based on Silhouette Index score." @default.
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- W2894820603 date "2018-10-01" @default.
- W2894820603 modified "2023-10-18" @default.
- W2894820603 title "Modified affinity propagation" @default.
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- W2894820603 doi "https://doi.org/10.1088/1757-899x/420/1/012121" @default.
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