Analyzing Big Data with Dynamic Quantum Clustering

  title={Analyzing Big Data with Dynamic Quantum Clustering},
  author={Marvin Weinstein and Florian Meirer and A. Hume and Ph. Sciau and G. Shaked and Roland Hofstetter and Erez Persi and A. Mehta and David Horn},
How does one search for a needle in a multi-dimensional haystack without knowing what a needle is and without knowing if there is one in the haystack? This kind of problem requires a paradigm shift away from hypothesis driven searches of the data towards a methodology that lets the data speak for itself. Dynamic Quantum Clustering (DQC) is such a methodology. DQC is a powerful visual method that works with big, high-dimensional data. It exploits variations of the density of the data (in feature… CONTINUE READING
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