A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks

A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks

In recent years, with the development of machine learning, especially after the rise of deep learning, time series clustering has been proven to effectively provide useful information in cloud computing and big data. However, many modern clustering algorithms are difficult to mine the complex featur...

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Bibliographic Details
Main Authors: Xin Ding, Kuangrong Hao, Xin Cai, Xue-Song Tang, Lei Chen, Haichao Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Time series
clustering
convolutional neural networks
similarity measurement
Online Access:https://ieeexplore.ieee.org/document/9205232/

Internet

https://ieeexplore.ieee.org/document/9205232/

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