SODA

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开发工具:matlab
文件大小:15KB
下载次数:1
上传日期:2020-02-15 05:40:01
上 传 者danilop20
说明:  A novel fully data-driven algorithm, named Self-Organised Direction Aware (SODA) data partitioning and forming data clouds is proposed. The proposed SODA algorithm employs an extra cosine similarity-based directional component to work together with a traditional distance metric, thus, takes the advantages of both the spatial and angular divergences. Using the nonparametric Empirical Data Analytics (EDA) operators, the proposed algorithm automatically identifies the main modes of the data pattern from the empirically observed data samples and uses them as focal points to form data clouds. A streaming data processing extension of the SODA algorithm is also proposed.

文件列表:[举报垃圾]
SelfOrganisedDirectionAwareDataPartitioning.m, 11231 , 2018-11-15
demo_SODA_hybrid.m, 1902 , 2018-11-15
demo_SODA_offline.m, 1204 , 2018-11-15
exampledata.mat, 9703 , 2018-11-15
license.txt, 1505 , 2018-11-15

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