A clustering approach to detect multiple outliers in linear functional relationship model for circular data
Outlier detection has been used extensively in data analysis to detect anomalous observation in data. It has important applications such as in fraud detection and robust analysis, among others. In this paper, we propose a method in detecting multiple outliers in linear functional relationship model...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Taylor & Francis
2018
|
| Subjects: |