|
@@ -0,0 +1,20 @@
|
|
|
|
|
+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
|
