High-Dimensional Clustering for Incomplete Mixed Dataset Using Artificial Intelligence

In order to address the problem that high energy consumption, high memory usage and low clustering effect in traditional data set high-dimensional clustering algorithms, we propose the high-dimensional clustering algorithm of incomplete mixed data set based on artificial intelligence. First, we cons...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Meishan Li, Xiaofeng Li, Jing Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Subjects:
Artificial intelligence
subspace
phase space reconstruction
correlation dimension
mixed data set
high-dimensional clustering
Online Access:https://ieeexplore.ieee.org/document/9062511/

Internet

https://ieeexplore.ieee.org/document/9062511/

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