Similarity- based approach for outlier detection
This paper presents a new approach for detecting outliers by introducing the notion of objects proximity. The main idea is that normal point has similar characteristics with several neighbors. So the point in not an outlier if it has a high degree of proximity and its neighbors are several. The performance of this approach is illustrated through real datasets.
Keywords: Similarity Measure, Outlier detection, clustering, Fuzzy C-means
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ABOUT THE AUTHORS
Amina Dik
rabat morocco
Khalid Jebari
rabat morocco
Abdelaziz Bouroumi
rabat morocco
Aziz Ettouhami
rabat morocco
Amina Dik
rabat morocco
Khalid Jebari
rabat morocco
Abdelaziz Bouroumi
rabat morocco
Aziz Ettouhami
rabat morocco
