Total Frame Potential and its Applications in Data Clustering

Beschreibung

In this thesis, we analyze this functional on a mathematical basis, including an introduction into the necessary framework, and discuss the position of our method in the family of cluster algorithms as well as the relation of the inherent optimization to other problems in learning theory.

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Tobias Springer

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Analysis of the Penalized Frame Potential Cluster Algorithms for Short Time Series Data Clustering Frames Nonlinear Programming

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