Comparing structures of multi-dimensional scaling (SSA) (A response to Kashti's study and to Langeheine's critique)

1981 ◽  
Vol 7 (1) ◽  
pp. 105-109
Author(s):  
Samuel Shye
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling

Estimation of connectivities of neurons using multi-dimensional scaling

2014 ◽  
Vol 1 ◽  
pp. 382-385
Author(s):  
Kaori Kuroda ◽  
Hiroki Hashiguchi ◽  
Tohru Ikeguchi
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling

Professional volleyball club emblem image for Multi-Dimensional Scaling

2017 ◽  
Vol 22 (2) ◽  
pp. 67-78
Author(s):  
Jeoung-Hak Lee ◽  
Seung-jae Lim ◽  
Sung-Yong Kim ◽  
ki-woong Kim
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling

scholarly journals STATUS KEBERLANJUTAN USAHATANI PADI SAWAH DI KOTA DENPASAR STATUS KEBERLANJUTAN USAHATANI PADI SAWAH DI KOTA DENPASAR

2018 ◽  
Vol 6 (1) ◽  
pp. 55
Author(s):  
Anggreni Madik Linda ◽  
I GAAA Ambarawati ◽  
I Nyoman Gede Ustriyana
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling

Tujuan penelitian ini adalah untuk menganalisis status keberlanjutan usahatani padi berdasarkan lima dimensi keberlanjutan: ekologi, ekonomi, sosial-budaya, hukum dan kelembagaan, dan teknologi dan infrastruktur, dan untuk mengetahui atribut yang sensitif dalam keberlanjutan pertanian padi di Subak Intaran Barat, Desa Sanur Kauh dilihat dari lima dimensi pembangunan berkelanjutan. Penelitian ini menggunakan metode survei dan analisis data menggunakan teknik ordinasi RAP-FARM melalui Multi Dimensional Scaling (MDS) untuk menilai indeks dan status keberlanjutan usahatani padi dalam pembangunan pertanian. Penelitian ini juga mengidentifikasi atribut sensitif yang mempengaruhi indeks keberlanjutan masing-masing dimensi melalui analisis leverage. Dimensi terukur adalah dimensi ekologis, dimensi ekonomi, dimensi sosial budaya, dimensi kelembagaan, dan dimensi teknologi dan infrastruktur. Hasil analisis menunjukkan bahwa penilaian RAP-FARM dari usahatani padi sawah di Subak Intaran Barat memiliki nilai indeks keberlanjutan 73,48, yang dikategorikan ke dalam kategori cukup berkelanjutan. Dimensi ekonomi, teknologi dan infrastruktur memiliki status berkelanjutan yang berkelanjutan sementara dimensi ekologi, sosio-budaya, dan kelembagaan memiliki status berkelanjutan. Analisis leverage menunjukkan bahwa ada 10 atribut dari 29 atribut yang berpengaruh pada indeks keberlanjutan usahatani padi. Atribut yang paling sensitif adalah koperasi kelembagaan petani di dimensi kelembagaan.

THE QSAR RESEARCH ON AURONE INHIBITORS OF HEPATITIS C VIRUS RNA-DEPENDENT RNA POLYMERASE BY APPLYING MULTI-DIMENSIONAL SCALING METHOD

2013 ◽  
Vol 06 (01) ◽  
pp. 1250062
Author(s):  
YONG-HONG HU ◽  
BAO-HUA ZHANG
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Rna Polymerase ◽  
Hcv Rna ◽  
Training Set ◽  
Rna Dependent Rna Polymerase ◽  
Dimensional Scaling ◽  
Naturally Occurring ◽  
Virus Rna ◽  
Multi Dimensional Scaling

In this paper, we take naturally occurring 2-benzylidenebenzofuran-3-ones (aurones) inhibitors of hepatitis C virus (HCV) RNA-dependent RNA polymerase (RdRp) as an example to study the Multi-dimensional scaling (MDS) method for structure-activity relationship. By analyzing training set molecules, our MDS method combined with a PROXSCAL algorithm can predict inhibitory activity of most compounds correctly. Thus, a new sample's activity can be estimated and judged conveniently, and whether it should be synthesized can be known. The MDS method is applicable to optimize the structure for a compound and to provide suggestions for drug design.

scholarly journals ANALISIS KEBERLANJUTAN PEMBANGUNAN BENDUNGAN WAY SEKAMPUNG, LAMPUNG

2018 ◽  
Vol 9 (1) ◽  
pp. 43-52
Author(s):  
Mirza Nirwansyah ◽  
Cecep Kusmana ◽  
Eriyatno Eriyatno ◽  
M.Yanuar J. Purwanto
Keyword(s):  
Water Resources ◽  
Catchment Area ◽  
Environmental Damage ◽  
Scaling Analysis ◽  
Land Conversion ◽  
On Demand ◽  
Dimensional Scaling ◽  
Water Based ◽  
Floods And Droughts ◽  
Multi Dimensional Scaling

The availability of water resources provides many benefits for the welfare of all human being. The Decrease of the availability of water resources is caused by various reasons, including as environmental damage of catchment area, human activities, land conversion, and the issue of global warming. The problems caused an increase in floods and droughts. Dam development can reduce the risk of flood and drought through a reservoir operation by using less water during rainy season and using much water during dry season. The sustainability of water resources in Way Sekampung can be identified by three main indicators, which are ecology, economic, and sosio-cultural by using the MDS (Multi Dimensional Scaling) analysis, There are two item become the focus of this research i.e. sedimentation and water balance. These factors are considered as the most important factors in planning a dam. Operationally, this policy will be applied by supplying water based on demand, strengthening water resources institutions, improving infrastructure facilities and developing technology.

scholarly journals Bayesian Geographical Multi-Dimensional Scaling

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Hayato Nishi ◽  
Yasushi Asami
Keyword(s):  
Three Dimensional ◽  
Geographical Location ◽  
Point Of View ◽  
Statistical Point ◽  
Dimensional Scaling ◽  
Regional Features ◽  
Geographical Distances ◽  
Strong Relation ◽  
Geographical Locations ◽  
Multi Dimensional Scaling

<p><strong>Abstract.</strong> Multi-dimensional scaling (MDS) is a popular method of visualizing the similarity of individuals in a dataset. When dissimilarities between individuals in a dataset are measured, MDS projects these individuals into the (typically two- or three-dimensional) map. In this map, because similar individuals are projected to be close to one another, distances between individuals correspond to their dissimilarities. In other words, MDS makes a similarity map of a dataset.</p><p>Some of the dissimilarities and distances have a strong relation to the geographical location. For example, time distances are similar to geographical distances, and regional features will be similar if the regions are close together. Therefore, it will be useful to compare the MDS projection and geographical locations. However, because MDS projection is not concerned with the rotation, parallel translation, and similarity expansion, it might be difficult to compare the projection to the actual geographical locations. When geographically related similarities are visualized, projected locations should be bound to the geographical locations.</p><p>In this article, we propose Bayesian Geographical Multidimensional Scaling (BGMDS), in which geographical restrictions of projections are given from a statistical point of view. BGMDS gives not only geographically bound projections, but also incorporates the uncertainty of the projections.</p>

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