Evaluation on rapid profiling with clustering algorithms for plantation stocks on Bursa Malaysia

• Main Authors: Keng, Hoong Ng, Kok, Chin Khor
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/24069/1/JICT%2015%202%202016%20%2063%E2%80%9384.pdf; http://repo.uum.edu.my/24069/; http://jict.uum.edu.my/index.php/previous-issues/149-1
• Institution: Universiti Utara 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...