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- K-Means Clustering Approaches:
- -Y-Means Clustering: K-Means until with updated clusters, until clusters dont change, merge close clusters
- ->https://dl.acm.org/citation.cfm?id=2149580
- -Fuzzy K-Means Clustering K-Means + Colonal optimization
- ->https://ieeexplore.ieee.org/abstract/document/1527620
- -K-Means Clustering variation with updates
- ->https://www.sciencedirect.com/science/article/pii/S0167865505003557
- -K-Means SOM adaptation
- ->https://www.sciencedirect.com/science/article/pii/S0957417405000989
- -K-Means +Bayes
- ->https://ieeexplore.ieee.org/abstract/document/5999520
- -Plain K-Means with bounds
- ->http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.6870
- https://scholar.google.com/scholar?hl=de&as_sdt=0,5&q=k+means+network+anomaly+detection
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