The Method of Quantum Clustering

We propose a novel clustering method that is an extension of ideas inherent to scale-space clustering and support-vector clustering. Like the latter, it associates every data point with a vector in Hilbert space, and like the former it puts emphasis on their total sum, that is equal to the scalespace probability function. The novelty of our approach is the study of an operator in Hilbert space, represented by the Schr

• Type: Conference
• Year: 2001
• Where: NIPS
• Authors: David Horn, Assaf Gottlieb
• Keywords: Hilbert Space, NIPS 2001, NIPS 2007, Probability Function, Schr¨odinger Equation