An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Information Retrieval
The Geometry of Information Retrieval
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
Structured Information Retrieval and Quantum Theory
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
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This work explores the analogies between an Information Retrieval (IR) task and the process of measuring an observable quantity in Quantum Mechanics (QM) applied to digital images represented by MPEG-7 Visual Descriptors. Clusters of images are described as superpositions of vectors, taking into account the distribution of the feature values of all the members. Similarity scores are computed making use of the geometric structure of Hilbert spaces with part of the rules of QM and used to compute cluster assignments. A software prototype has been developed to test the method.