A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil’s Rainforests

A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil’s Rainforests

Analysis of Brazil’s rainforest fires caused by various factors has become a hot topic nowadays,. Mining of rainforest fire data through learning unlabeled training samples can reveal inherent properties and patterns, providing a clue for fire prevention. Among commonly used mining approa...

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Bibliographic Details
Main Authors: Maofa Wang, Guangda Gao, Hongliang Huang, Ali Asghar Heidari, Qian Zhang, Huiling Chen, Weiyu Tang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Forest fire
ignition factor
PCA-DGM
principal component analysis
Gaussian mixture
Online Access:https://ieeexplore.ieee.org/document/9584896/

Internet

https://ieeexplore.ieee.org/document/9584896/

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