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Natural Computing for Unsupervised Learning : Unsupervised and Semi-Supervised Learning - Author

Natural Computing for Unsupervised Learning

By: Author

eText | 31 October 2018

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This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.

Includes advances on unsupervised learning using natural computing techniques

Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning

Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms

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Non-FictionEngineering & TechnologyElectronics & Communications EngineeringCommunications Engineering & TelecommunicationsElectronics EngineeringComputing & I.T.Computer ScienceArtificial IntelligenceComputer VisionDatabasesData MiningOther Technologies & Applied Sciences
Applied OpticsImaging Systems & TechnologyPattern RecognitionImage ProcessingMathematicsProbability & StatisticsDigital Signal Processing (DSP)Expert Systems & Knowledge-Based Systems

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