Sequential Minimax Search for Multi-Layer Gene Grouping

Sequential Minimax Search for Multi-Layer Gene Grouping

Many areas of exploratory data analysis need to deal with high-dimensional data sets. Some real life data like human gene have an inherent structure of hierarchy, which embeds multi-layer feature groups. In this paper, we propose an algorithm to search for the number of feature groups in high-dimens...

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Bibliographic Details
Main Authors: Wenting Wang, Xingxing Zhou, Fuzhong Chen, Beishao Cao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Machine learning
evolutionary computing
feature grouping
high-dimensional data analysis
gene grouping
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/8744237/

Internet

https://ieeexplore.ieee.org/document/8744237/

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