Symulacyjne badanie wykorzystania entropii do badania jakości klasyfikacji
Simulation study of the use of entropy to validation of clustering

Summary/Abstract: The aim of this paper is to present a quality index classification using Renyi entropy against known quality indicators grouping of multidimensional time series. The study was conducted on artificially generated data and empirical data. The division into groups was made by using Ward's agglomeration algorithm, k-means method’s and spectral clustering. The results were verified using the selected indices of clustering validation.

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