Results 31 to 40 of about 754,732 (250)

A visual workspace for constructing hybrid MDS algorithms and coordinating multiple views [PDF]

open access: yes, 2003
Data can be distinguished according to volume, variable types and distribution, and each of these characteristics imposes constraints upon the choice of applicable algorithms for their visualisation.
Ross, G.   +3 more
core   +1 more source

A Review of Multidimensional Scaling (MDS) and its Utility in Various Psychological Domains [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2009
This paper aims to provide a non-technical overview of multidimensional scaling (MDS) so that a broader population of psychologists, in particular, will consider using this statistical procedure. A brief description regarding the type of data used in MDS,
Angelina Chupetlovska-Anastasova   +1 more
doaj  

Bios2mds: an R package for comparing orthologous protein families by metric multidimensional scaling

open access: yesBMC Bioinformatics, 2012
Background The distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families.
Pelé Julien   +3 more
doaj   +1 more source

The Choice of Initial Configurations in Multidimensional Scaling: Local Minima, Fit, and Interpretability

open access: yesAustrian Journal of Statistics, 2017
Multidimensional scaling (MDS) algorithms can easily end up in local minima, depending on the starting configuration. This is particularly true for 2-dimensional ordinal MDS.
Ingwer Borg, Patrick Mair
doaj   +1 more source

Indoor Robot Localization Based on Multidimensional Scaling

open access: yesInternational Journal of Distributed Sensor Networks, 2015
In pertinence to the application of multidimensional scaling (MDS) methods in ranging-based positioning systems, an analysis is firstly conducted by the classical MDS algorithm.
Wei Cui   +4 more
doaj   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang   +4 more
wiley   +1 more source

Characteristics and Outcomes of Male Participants in a Multicenter Longitudinal Australian Study Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin   +14 more
wiley   +1 more source

Coastal Gastronomy and Destination Image: a Multidimensional Scaling Analysis of International Travellers about a Tropical Seafood Hub in India

open access: yesVallis Aurea
The study aims to analyse the perceptions of international tourists on coastal gastronomy and its influence in the destination image of Kerala, India. The study adopted a descriptive research design using a structured questionnaire having semantic diff ...
N Riswana   +2 more
doaj   +1 more source

Multidimensional scaling analysis for investigating relations between milk yield and fertility parameters

open access: yesArquivo Brasileiro de Medicina Veterinária e Zootecnia, 2022
Milk yield and fertility traits in dairy cattle and their relationship with the influencing factors were investigated using multidimensional scaling analysis (MDS) in this study.
Serdar Genç
doaj   +1 more source

ANALISIS PERBANDINGAN METODE MULTIDIMENSIONAL SCALING (MDS) DAN WEIGHTED MULTIDIMENSIONAL SCALING (WMDS) [PDF]

open access: yes, 2019
Analisis multivariat merupakan teknik statistik yang digunakan untuk menganalisis data terdiri dari banyak variabel yang saling berhubungan satu sama lain.
Pradita, Dea   +2 more
core   +1 more source

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