A New Cross Clustering Algorithm for Improving Performance of Supervised Learning

A New Cross Clustering Algorithm for Improving Performance of Supervised Learning

In this paper, a new clustering algorithm is proposed based on cross clusters without using membership functions. In light of the cross clustering data transformation, the spatial distribution of data is changed while the original data dimension simultaneously is maintained. Combining with the perfo...

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Bibliographic Details
Main Authors: Wenshuo Zhou, Kuangrong Hao, Chunli Jiang, Lei Chen, Xue-Song Tang, Xin Cai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cross clustering
time series classification
full convolutional network
nearest neighbor algorithm
Online Access:https://ieeexplore.ieee.org/document/8684947/

Internet

https://ieeexplore.ieee.org/document/8684947/

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