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Titlebook: Metaheuristics for Data Clustering and Image Segmentation; Meera Ramadas,Ajith Abraham Book 2019 Springer Nature Switzerland AG 2019 Compu

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楼主: Intermediary
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Enhanced Differential Evolution with Fuzzy c-Means Technique,ans technique to perform clustering of data. In this approach, the search strategy of eDE algorithm is combined with the fuzzy c-means technique and this technique is then applied on clustering of dataset.
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Search Strategy Flower Pollination Algorithm with Differential Evolution,This chapter introduces another new variant of Evolutionary Algorithm named as ssFPA/DE—Search Strategy Flower Pollination Algorithm with Differential Evolution. In this novel approach, the search strategy of FPA algorithm is combined with the efficiency of DE to make ssFPA/DE robust. This variant is then applied on clustering of dataset.
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Reconstructed Mutation Strategy for Differential Evolution Algorithm,This chapter introduces a new variant of Differential Evolution named as RDE- Reconstructed Differential Evolution. RDE differs from classical DE in its mutation strategy. To improve efficiency and robustness, RDE strategy uses three control parameters unlike FSDE and ReDE. This variant is then applied on clustering of complex weather images.
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Metaheuristics and Data Clustering,rential Evolution algorithm and Flower Pollination algorithm. Section . elaborates the basic data clustering technique and Sect. . summarizes about the image segmentation. Sections .–. explains the works related to metaheuristics and their application on data and image clustering respectively.
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