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Analisis Keberlanjutan Budidaya Jeruk Malang Melalui Pendekatan MDS (Multidimensional Scaling)

Folium : Jurnal Ilmu Pertanian, 2023
This research is the first step to find a model for cultivating citrus plants with high yields but not damaging the environment. The habit of citrus farmers to use chemical fertilizers excessively can increase the risk of environmental damage which causes citrus cultivation activities to become unsustainable. This condition requires efforts to minimize
Anita Qurania   +1 more
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Metric multidimensional scaling (MDS) and related methods

2021
This section considers methods for analysing a special class of square data matrices collecting quantified proximities among subjects or variables. According to the Cambridge Dictionary, proximity means “the state of being near in space or time”. For example, such a data matrix \(\Delta \) can be obtained by taking the distances or journey times among ...
Nickolay Trendafilov, Michele Gallo
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Sorting biotechnology applications: Results of multidimensional scaling (MDS) and cluster analysis

Public Understanding of Science, 2011
When people respond to questionnaires, they may construct preferences using various sources of information available, even questions within the questionnaire. An experimental approach with a representative sample of the Swiss population was applied to investigate how stable attitudes towards biotechnology are and which criteria people use ...
Melanie, Connor, Michael, Siegrist
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Multidimensional Scaling (MDS): A quantitative approximation of zircon ages to sedimentary provenance with some examples from Mexico

Journal of South American Earth Sciences, 2021
Abstract During the last decades, provenance studies have proven to be an invaluable tool to evaluate modern and ancient sedimentary environments and to reconstruct the paleogeography and evolution of different tectonic settings. Whereas in the past provenance studies were mainly based on qualitative comparisons of whole-rock sandstone detrital modes,
B. Ortega-Flores   +2 more
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Applications of Multidimensional Similarity Scaling (MDS) in evaluation research

Children and Youth Services Review, 1999
Abstract Two cases are presented to illustrate the applicability of multidimensional similarity scaling in evaluation research. In the first case, respondents were the Executive Directors of ten children's service agencies in the downtown area of a large metropolitan center.
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VR-MDS: Multidimensional scaling for classification tasks of virtual and real stimuli

Attention, Perception, & Psychophysics, 2014
Evaluating the perceptual similarity between virtual and real sensory stimuli has been a serious problem for virtual reality interface researchers for a long time. One of the most commonly used evaluation methods is a classification task where assessors classify randomly presented stimuli into multiple candidate types.
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Multidimensional scaling (MDS)

2013
Multidimensional scaling (MDS) is a multivariate statistical method, which aims to uncover structures within a given data set. The method is becoming more and more popular in sensory science and product development, and may also be applied in nutritional science. An applied introduction is given based on recent examples in food sciences.
Derndorfer, Eva, Baierl, Andreas
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Multidimensional scaling (MDS), cluster and descriptive analyses provide preliminary insights into Australian Shiraz wine regional characteristics

Food Quality and Preference, 2013
Abstract Much has been written in the popular wine press about the various sensory properties of Australian Shiraz produced from different regions. This study had an objective of exploring whether wine experts would group Shiraz wines from the same region together, following ortho and retro nasal assessments of the wines. A cohort of wine experts and
Johnson, T.   +3 more
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Multiple tests for wind turbine fault detection and score fusion using two- level multidimensional scaling (MDS)

SPIE Proceedings, 2010
Wind is an important renewable energy source. The energy and economic return from building wind farms justify the expensive investments in doing so. However, without an effective monitoring system, underperforming or faulty turbines will cause a huge loss in revenue. Early detection of such failures help prevent these undesired working conditions.
Xiang Ye   +3 more
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