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