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
