A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning – Minerva – Artificial Intelligence Research Lab

A Morales-Esteban, S Martínez-Álvarez F., Scitovski, R Scitovski: A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning. En: Computers and Geosciences, vol. 73, pp. 132-141, 2014.

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doi:10.1016/j.cageo.2014.09.003

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@article{mmss14,
title = {A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning},
author = {A Morales-Esteban and S Martínez-Álvarez F. and Scitovski and R Scitovski},
doi = {10.1016/j.cageo.2014.09.003},
year  = {2014},
date = {2014-01-01},
journal = {Computers and Geosciences},
volume = {73},
pages = {132-141},
keywords = {},
pubstate = {published},
tppubtype = {article}
}