Straight monotonic embedding of data sets in Euclidean spaces

P Courrieu (1)

1 LPC - Laboratoire de psychologie cognitive

This paper presents a fast incremental algorithm for embedding data sets belonging to various topological spaces in Euclidean spaces. This is useful for networks whose input consists of non-Euclidean (possibly non-numerical) data, for the on-line computation of spatial maps in autonomous agent navigation problems, and for building internal representations from empirical similarity data. (C) 2002 Elsevier Science Ltd. All rights reserved.

Domaines: Psychologie

P Courrieu. Straight monotonic embedding of data sets in Euclidean spaces. Neural Networks, 2002, 15 (10), pp.1185-1196. ⟨10.1016/S0893-6080(02)00091-6⟩. ⟨hal-01441376⟩