A recommendation on how to teach K-means in introductory analytics courses

• Main Author: THULASIDAS, Manoj
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: K-Means Clustering; Quality Metrics; K Selection; Variance Ratio Criterion; Higher Education; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/7679; https://ink.library.smu.edu.sg/context/sis_research/article/8682/viewcontent/2022194794.pdf
• Institution: Singapore Management University

We teach K-Means clustering in introductory data analytics courses because it is one of the simplest and most widely used unsupervised machine learning algorithms. However, one drawback of this algorithm is that it does not offer a clear method to determine the appropriate number of clusters; it doe...