Results 1 to 10 of about 225 (98)

More on Multidimensional Scaling and Unfolding in R: smacof Version 2

Journal of Statistical Software, 2022
The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features
Patrick Mair, Patrick J. F. Groenen, Jan de Leeuw   +2 more
doaj   +3 more sources

Hyperspectral Image Classification Using Isomap with SMACOF [PDF]

Informatica, 2019
The isometric mapping (Isomap) algorithm is often used for analysing hyperspectral images. Isomap allows to reduce such hyperspectral images from a high-dimensional space into a lower-dimensional space, keeping the critical original information. To achieve such objective, Isomap uses the state-of-the-art MultiDimensional Scaling method (MDS) for ...
Olga Kurašová, FRANCISCO José Orts Gomez, Ernestas Filatovas   +2 more
exaly   +4 more sources

Escalamiento Multidimensional No Métrico. Un ejemplo con R empleando el algoritmo SMACOF

Estudios sobre Educación, 2016
En este artículo se describe el desarrollo histórico y formal del escalamiento multidimensional no métrico hasta llegar a una de las últimas aportaciones de optimización: el algoritmo SMACOF.
Emelina López-González, Ramón Hidalgo Sánchez   +1 more
doaj   +3 more sources

Multidimensional Scaling Using Majorization: SMACOF inR [PDF]

Journal of Statistical Software, 2009
In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm. The objective function to be minimized is known as stress and functions which majorize stress are elaborated. This strategy to solve MDS problems is called SMACOF and it is implemented in an R package of the same name which
Jan de Leeuw, Patrick Mair
  +15 more sources

Map Building By Multi-dimensional Scaling of Co-visibility Data Extentions by SMACOF Method and Distance Function Estimation

Transactions of the Japanese Society for Artificial Intelligence, 2007
Toshiaki Maeno
exaly   +3 more sources

An aerial ammunition ad hoc network collaborative localization algorithm based on relative ranging and velocity measurement in a highly-dynamic topographic structure

Defence Technology, 2023
In the internet of battlefield things, ammunition is becoming networked and intelligent, which depends on location information. Therefore, this paper focuses on the self-organized network collaborative localization of munitions with an aerial three ...
Hao Wu, Peng-fei Wu, Zhang-song Shi, Shi-yan Sun, Zhong-hong Wu   +4 more
doaj   +1 more source

Manifold Learning Inspired Dynamic Hybrid Precoding With Antenna Partitioning Algorithm for Dual-Hop Hybrid FSO-RF Systems

IEEE Access, 2022
The decode-and-forward (DF) based free-space optical-radio frequency (FSO-RF) hybrid system combines the advantages of both FSO links and RF links, which makes the system easy to be deployed and enables the extended transmission coverage.
Xiaoping Zhou, Xudong Tian, Le Tong, Yang Wang   +3 more
doaj   +1 more source

Multidimensional Scaling by Majorization: A Review

Journal of Statistical Software, 2016
A major breakthrough in the visualization of dissimilarities between pairs of objects was the formulation of the least-squares multidimensional scaling (MDS) model as defined by the Stress function.
Patrick J. F. Groenen, Michel van de Velden   +1 more
doaj   +1 more source

Convergence of SMACOF

, 2023
18 pages, R ...
openaire   +2 more sources

More on multidimensional scaling in {R}: smacof version 2

Journal of Statistical Software, 2022
The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added.
Mair, Patrick, Groenen, Patrick, De Leeuw, Jan   +2 more
openaire   +1 more source