Unsupervised Anomaly Detection Benchmark
收藏DataONE2018-02-22 更新2024-06-25 收录
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https://search.dataone.org/view/sha256:b432b2d3f0c643792eab98c25c96e0212032ddf28c0ff310bc713743e6123f4c
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资源简介：
These datasets can be used for benchmarking unsupervised anomaly detection algorithms (for example \"Local Outlier Factor\" LOF). The datasets have been obtained from multiple sources and are mainly based on datasets originally used for supervised machine learning. By publishing these modifications, a comparison of different algorithms is now possible for unsupervised anomaly detection.
创建时间：
2023-11-21
