New Developments in Unsupervised Outlier Detection: Algorithms and Applications by Xiaochun Wang
English | EPUB | 2021 | 287 Pages | ISBN : 9811595186 | 45 MB
This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection.
