Developing a hybrid model for comparative analysis of financial data clustering algorithms

Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algo...

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Bibliographic Details
Main Authors: Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2023-09-01
Series:تصمیم گیری و تحقیق در عملیات
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Online Access:https://www.journal-dmor.ir/article_145108_1c40bf9c90cdae35d219eaa1c7ede3d7.pdf
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