EVALUATION ON RAPID PROFILING WITH CLUSTERING ALGORITHMS FOR PLANTATION STOCKS ON BURSA MALAYSIA

EVALUATION ON RAPID PROFILING WITH CLUSTERING ALGORITHMS FOR PLANTATION STOCKS ON BURSA MALAYSIA

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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 li...

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Bibliographic Details
Main Authors: Keng Hoong Ng, Kok-Chin Khor
Format: Article
Language:English
Published: UUM Press 2016-11-01
Series:Journal of ICT
Subjects:
Stock profiling
stock portfolio
financial ratios
expectation maximization
K-means
hierarchical clustering
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/8208

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/8208

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