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Prof. Dr. M. Jarke
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RWTH Aachen
Informatik 5
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Feature Clustering and Visualization of High Dimensional Data using Clique Cover Theory

Thesis type
  • Master
Status Running
Supervisor(s)
Advisor(s)

Approaches such as clustering and classification that are analytically or computationally manageable in low dimensions become intractable as the dimensions increases. This happens because of a phenomenon known as “the curse of dimensionality” which is commonly observed in high dimensional data. Thus the aim of this thesis is to come up with a novel approach for feature clustering, selection, and visualization using the graph theoretical approach of Clique Covers.

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