New smoothed location models integrated with PCA and two types of MCA for handling large number of mixed continuous and binary variables
The issue of classifying objects into groups when measured variables in an experiment are mixed has attracted the attention of statisticians.The Smoothed Location Model (SLM) appears to be a popular classification method to handle data containing both continuous and binary variables simultaneously.H...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2018
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/24407/1/PJST%20%2026%201%202018%20%20247%20260.pdf |