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