Home ›
Entities
› academia
› Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines
Research article (IEEE Transactions on Automation Science and Engineering, 2018) · cited 58× · AI/ML
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines
Summary
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines is a scholarly article[1].
Key Facts
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-anomaly-detection-based-on-minimum-spanning-tree-approximated-distance-measures-and-its-application-to-hydr
MLA“Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-anomaly-detection-based-on-minimum-spanning-tree-approximated-distance-measures-and-its-application-to-hydr.
BibTeX@misc{4ortxyz_unsupervised-anomaly-detection-based-on-minimum-spanning-tree-approximated-distance-measures-and-its-application-to-hydr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-anomaly-detection-based-on-minimum-spanning-tree-approximated-distance-measures-and-its-application-to-hydr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines — https://4ort.xyz/entity/unsupervised-anomaly-detection-based-on-minimum-spanning-tree-approximated-distance-measures-and-its-application-to-hydr (retrieved 2026-05-24)
