Incremental one-class classifier based on convex–concave hull

• Published in: Pattern analysis and applications : PAA Vol. 23; no. 4; pp. 1523 - 1549
• Main Authors: Hamidzadeh, Javad, Moradi, Mona
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2020; Springer Nature B.V
• Subjects: Classification; Classifiers; Complexity; Computational geometry; Computer Science; Computing time; Convexity; Data transmission; Datasets; Hulls; Pattern Recognition; Theoretical Advances; Data stream; Convex hull; Online learning; One-class classification; Convex–concave hull

One subject that has been considered less is a binary classification on data streams with concept drifting in which only information of one class (target class) is available for learning. Well-known methods such as SVDD and convex hull have tried to find the enclosed boundary around target class, bu...