Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model

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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....

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Bibliographic Details
Main Authors:	Sulaiman, Md. Nasir, Mohamed, Raihani, Mustapha, Norwati, Zainudin, Muhammad Noorazlan Shah
Format:	Article
Language:	English
Published:	World Scientific and Engineering Academy and Society 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/73466/ http://psasir.upm.edu.my/id/eprint/73466/1/FOREST.pdf

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