Abstract
Dynamic Quantum Clustering (DQC) is a recent clustering technique based on physical intuition from quantum mechanics. Clusters are identified as the minima of the potential function of the Schrödinger equation. In this poster, we apply this technique to explore the possibility to select highly relevant documents relative to a query of a user. In particular, we analyze the clusters produced by DQC with a standard test collection. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Di Buccio, E., & Di Nunzio, G. M. (2011). Distilling relevant documents by means of dynamic quantum clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6931 LNCS, pp. 360–363). https://doi.org/10.1007/978-3-642-23318-0_39
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