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K-NNDP: K-means algorithm based on nearest neighbor density peak optimization and outlier removal
J Liao, X Wu, Y Wu, J Shu - Knowledge-based systems, 2024 - Elsevier
K-means is an unsupervised method for vector quantification derived from signal
processing. It is currently used in data mining and knowledge-discovery. The advantages of …
processing. It is currently used in data mining and knowledge-discovery. The advantages of …
Effective enhancement of isolation Forest method based on Minimal Spanning tree clustering
Modern technologies let researchers and practitioners explore large datasets. Anomaly
detection methods applied to fix or delete unwanted records are of great importance here …
detection methods applied to fix or delete unwanted records are of great importance here …
High-precision matching algorithm for multi-image segmentation of micro animation videos in mobile network environment
Y Su, Y Djenouri - Mobile Networks and Applications, 2023 - Springer
In the mobile network environment, the accuracy of related image matching algorithms is
affected by factors such as bandwidth uncertainty and channel interference, resulting in …
affected by factors such as bandwidth uncertainty and channel interference, resulting in …