A clustering approach to detect multiple outliers in linear functional relationship model for circular data

@inproceedings{Mokhtar2018ACA,
  title={A clustering approach to detect multiple outliers in linear functional relationship model for circular data},
  author={Nurkhairany Amyra Mokhtar and Yong Zulina Zubairi and Abdul Ghapor Hussin},
  year={2018}
}
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 for circular variables. Using the residual values of the Caires and Wyatt model, we applied the hierarchical clustering approach. With the use of a tree diagram, we illustrate the detection of… CONTINUE READING

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