DBSCAN Algoritması Kullanarak Bitcoin Fiyatlarında Anormallik Tespiti
نویسندگان
چکیده
منابع مشابه
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In this work we propose an extension of the DBSCAN algorithm to generate clusters with fuzzy density characteristics. The original version of DBSCAN requires two parameters (minPts and ) to determine if a point lies in a dense area or not. Merging different dense areas results into clusters that fit the underlined dataset densities. In this approach, a single density threshold is employed for a...
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ژورنال
عنوان ژورنال: European Journal of Science and Technology
سال: 2020
ISSN: 2148-2683
DOI: 10.31590/ejosat.araconf57