This work describes the results obtained by applying a machine learning method based on cluster analysis applied to a database of data that simulates an industrial production process. The topic is pattern recognition, and the method is compared to other 7 methods from literature: Classification and Regression Trees; C4.5; PART; Bagging CART; Random Forest; Boosted C5.0; Support Vector Machines.
Experimental findings in machine learning methods development
Rao, M.
2020-01-01
Abstract
This work describes the results obtained by applying a machine learning method based on cluster analysis applied to a database of data that simulates an industrial production process. The topic is pattern recognition, and the method is compared to other 7 methods from literature: Classification and Regression Trees; C4.5; PART; Bagging CART; Random Forest; Boosted C5.0; Support Vector Machines.File in questo prodotto:
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