Statistical hierarchical clustering algorithm for outlier detection in evolving data streams

DOI10.1007/s10994-020-05905-4OpenAlexW3083523297MaRDI QIDQ2051234

Mario Brčić, Boris Vrdoljak, Dalibor Krleža

Publication date: 24 November 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-020-05905-4

zbMATH Keywords

clusteringfraud detectionbig dataanomaly detection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• Eigen
• Rcpp
• mlrMBO
• stream
• streamMOA
• clusterCrit

Cites Work

• Unnamed Item
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• BICO: BIRCH Meets Coresets for k-Means Clustering
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• Learning from Data Streams
• Data stream clustering
• Adjustment of an Inverse Matrix Corresponding to a Change in One Element of a Given Matrix
• Extending R with C++: A Brief Introduction to Rcpp