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An Objective Approach to Trajectory Mapping through Simulating Annealing

Abstract

Trajectory Mapping (TM) was introduced in 1995 as a new experimental paradigm and scaling technique. Because only a manual heuristic for processing the data was included, we offer an algorithm based on simulated annealing that combines both a computational approach to processing TM data and a model of the human heuristic used by Richards and Koenderink (1995). We briefly compare the TM approach with MDS and clustering, and then describe the details of the algorithm itself and present relevant several diagnostic measures.

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