The Application of high-dimensional Data Classification by Random Forest based on Hadoop Cloud Computing Platform
The high-dimensional data has a number of uncertain factors, such as sparse features, repeated features and computational complexity. The random forest algorithm is a ensemble classifier method, and composed of numerous weak classifiers. It can overcome a number of practical problems, such as the sm...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2016-08-01
|
| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3929 |