Unsupervised Approaches in Anomaly Detection

Author:

Higuera Juan Ramón Bermejo,Higuera Javier Bermejo,Montalvo Juan Antonio Sicilia,Crespo Rubén González

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Kibish, S.: A note about finding anomalies [Internet]. Medium. (2018). [Visited 23 May 2023]. Available on https://towardsdatascience.com/a-note-about-finding-anomalies-f9cedee38f0b

2. Berzal, F.: Partition based clustering. [Visited 23 May 2023]. Available on https://elvex.ugr.es/idbis/dm/slides/41%20Clustering%20-%20Partitional.pdf

3. Isaac, J.: Cluster jerarquico. (2021). [Visited 23 May 2023]. Available on https://rpubs.com/jaimeisaacp/760355

4. Bandaru, S., Kalyanmoy, D.: Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique. Eng. Optim. 43, 911–941 (2011). https://doi.org/10.1080/0305215X.2010.528410

5. Sancho, F.: Self Organizing Maps (SOM) in NetLogo. (2021). [Visited 23 June 2023]. Available on https://www.cs.us.es/~fsancho/?e=136

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