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Improving Bregman k-means
(Inderscience Publishers Ltd, 2014)
We review Bregman divergences and use them in clustering algorithms which we have previously developed to overcome one of the difficulties of the standard k-means algorithm which is its sensitivity to initial conditions ...
Visualising Data Using Reservoir with Clustering
In this paper we illustrate a new method of visualizing and projecting time series data using reservoir computing with clustering algorithms. We show the advantages of using clustering with reservoir to visualize data. ...