Fuzzy Clustering Using Levenberg-Marquardt Optimization And Deterministic Anneal

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Fuzzy Clustering Using Levenberg-Marquardt Optimization And Deterministic AnnealISBN13:9781540540164ISBN10:1540540162Author:Abadpour, Arash (Author)Description:(This is a RePrint) - In This Paper, We Address The Generic Problem Of Unsupervised Data Clustering Within A Fuzzy Framework We Show That This Problem Can Be Formulated As A Least Mean Square Vector Cost Function And Propose An Iterative Solution Procedure Which Utilizes The Levenberg-Marquardt Optimization Technique As Such, We Develop An Algorithm Which Is Capable Of Performing The Stated Task Through Utilizing Abstract Notions Of Data Item, Cluster, And Data Item-To-Cluster Distance We Demonstrate That The Fuzzifier Can Be Utilized As A Temperature Factor, In Order To Set Up A Deterministic Annealing Framework That Provides Assurance That The Derived Loss Function Converges To An Acceptable Minimum This Is Important Because The Developed Method Includes An Additional Layer Of Numerical Optimization On Top Of The Structure Commonly Used In The Literature This Paper Includes The Derivation Of The Cost Function As Well As The Outline Of The Developed Solution Procedure We Carry Sample Problem Instances From Six Problem Classes And Discuss Different Aspects Of The Developed Method Finally, We Provide A Potential Next Step For This Work Binding:Paperback, PaperbackPublisher:Createspace Independent Publishing PlatformPublication Date:2016-11-20Weight:0.2 lbsDimensions:0.12'' H x 9.02'' L x 5.98'' WNumber of Pages:58Language:English

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Location: USA

End Time: 2025-01-21T11:38:47.000Z

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