fast_diss_vector

A fast (parallel for linux) algorithm of (squared) Euclidean cross-distance for vectors written in C++

internal

Functions for dissimilarity analysis and memory-based learning
(MBL, a.k.a local modeling) in complex spectral data sets.
Most of these functions are based on the methods presented in
Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

Leonardo RamirezLopez

resemble

Memory-Based Learning in Spectral Chemometrics

fast_diss_vector function

<dl><dt>X</dt>
<dd>a vector.</dd></dl>

Arguments

Author

A fast algorithm of (squared) Euclidean cross-distance for vectors written in C++ — fast_diss_vector

<dl>

<dt>X</dt>
<dd>a vector.</dd>

</dl>

fast_diss_vector: A fast algorithm of (squared) Euclidean cross-distance for vectors written in C++

Description

Usage

Value

Arguments

Author

Details