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Can I read Distributed Feature Selection: A Hesitant Fuzzy Correlation Concept for High-Dimensional Microarray Datasets on EtoBox?
Distributed Feature Selection: A Hesitant Fuzzy Correlation Concept for High-Dimensional Microarray Datasets by Mahdi Eftekhari; Adel Mehrpooya; Farid Saberi-Movahed; Vicenç Torra is a computer science book available to read on EtoBox.
What is Distributed Feature Selection: A Hesitant Fuzzy Correlation Concept for High-Dimensional Microarray Datasets about?
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how f
Who reads Distributed Feature Selection: A Hesitant Fuzzy Correlation Concept for High-Dimensional Microarray Datasets?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Mahdi Eftekhari; Adel Mehrpooya; Farid Saberi-Movahed; Vicenç Torra
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783030940652
- Category
- computer science
- Subjects
- Engineering, Science, Computer Science
- Updated
- 2026-03-25
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