A fuzzy approach to robust regression clustering
نویسندگان
چکیده
A new robust fuzzy regression clustering method is proposed. We estimate coefficients of a linear regression model in each unknown cluster. Our method aims to achieve robustness by trimming a fixed proportion of observations. Assignments to clusters are fuzzy: observations contribute to estimates in more than one single cluster. We describe general criteria for tuning the method. The proposed method seems to be robust with respect to different types of contamination.
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ورودعنوان ژورنال:
- Adv. Data Analysis and Classification
دوره 11 شماره
صفحات -
تاریخ انتشار 2017