Geodesic
Center based clustering and averaging aggregation functions
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2017), pp. 70-77

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We propose a new clustering method for partitioning of finite sets from $R^n$, which is based on the application of averaging aggregating functions and an iterative re-weighing method for searching cluster centers.
Keywords: aggregation function, M-average, K-means, clustering. 
@article{VKAM_2017_3_a6,
     author = {Z. M. Shibzukhov},
     title = {Center based clustering and averaging aggregation functions},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {70--77},
     publisher = {mathdoc},
     number = {3},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2017_3_a6/}
}
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Z. M. Shibzukhov. Center based clustering and averaging aggregation functions. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2017), pp. 70-77. http://geodesic.mathdoc.fr/item/VKAM_2017_3_a6/