An efficient clustering algorithm in the presence on outlier and doubtful data

• Main Author: Md. Jedi, Muhamad Alias
• Format: Thesis
• Language: English
• Published: 2015
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/79401/1/MuhamadAliasPFS2015.pdf; http://eprints.utm.my/id/eprint/79401/
• Institution: Universiti Teknologi Malaysia

v ABSTRACT The presence of outlying observations is a common problem in most statistical analysis. This case is also true when using cluster analysis techniques. Cluster analysis basically detects homogeneous clusters with large heterogeneity among them. To deal with outliers, a correct procedure in...