Evaluation on rapid profiling with clustering algorithms for plantation stocks on Bursa Malaysia
Building a stock portfolio often requires extensive financial knowledge and Herculean efforts looking at the amount of financial data to analyse. In this study, we utilized Expectation Maximization (EM), K-Means (KM), and Hierarchical Clustering (HC) algorithms to cluster the 38 plantation stocks l...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2016
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| Online Access: | https://repo.uum.edu.my/id/eprint/24069/1/JICT%2015%202%202016%20%2063%E2%80%9384.pdf |