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"item_title" : "How Fuzzy Concepts Contribute to Machine Learning",
"item_author" : [" Mahdi Eftekhari", "Adel Mehrpooya", "Farid Saberi-Movahed "],
"item_description" : "Chapter 1: Preliminaries.- Chapter 2: A Definition for Hesitant Fuzzy Partitions.- Chapter 3: Unsupervised Feature Selection Method. Chapter 4: Fuzzy Partitioning of Continuous Attributes.- Chapter 5: Comparing Different Stopping Criteria.",
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How Fuzzy Concepts Contribute to Machine Learning
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Overview
Chapter 1: Preliminaries.- Chapter 2: A Definition for Hesitant Fuzzy Partitions.- Chapter 3: Unsupervised Feature Selection Method. Chapter 4: Fuzzy Partitioning of Continuous Attributes.- Chapter 5: Comparing Different Stopping Criteria.
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Details
- ISBN-13: 9783030940652
- ISBN-10: 3030940659
- Publisher: Springer
- Publish Date: February 2022
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.95 pounds
- Page Count: 167
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