Localized Imagery and Narrative of Chinese Contemporary Oil Painting Based on Big Data

Localized Imagery and Narrative of Chinese Contemporary Oil Painting Based on Big Data

In this paper, a dataset is obtained by clustering data through a big data clustering algorithm, and a multidimensional state space vector with chaotic trajectories is established by reconstructing the phase space after several iterations to calculate the maximum and minimum similarity distances. Th...

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Bibliographic Details
Main Author: Li Hui
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
clustering algorithm
space vector
geometric feature volume
chaotic associative dimension
97m80
Online Access:https://doi.org/10.2478/amns.2023.2.00563

Internet

https://doi.org/10.2478/amns.2023.2.00563

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