Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
In data mining, classification learning is broadly categorized into two categories; supervised and unsupervised. In the former category, the training example is learned and the hidden class is predicted to represent the appropriate class. The class is known, but it is hidden from the learning model....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific and Engineering Academy and Society
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/73466/1/FOREST.pdf |