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Thematische Bibliographien / Multidimensional scaling / Dissertationen

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Dissertationen zum Thema „Multidimensional scaling“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Juli 2025

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1

Bell, Paul W. "Statistical inference for multidimensional scaling." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327197.

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2

CUGNATA, FEDERICA. "Bayesian three-way multidimensional scaling." Doctoral thesis, Università Bocconi, 2012. https://hdl.handle.net/11565/4054285.

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3

Jones, Synthia S. "Multidimensional scaling of user information satisfaction." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277230.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, December 1993.<br>Thesis advisor(s): William J. Haga ; Kishore Sengupta. "December 1993." Bibliography: p. 108-110. Also available online.

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4

Ingram, Stephen F. "Multilevel multidimensional scaling on the GPU." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/409.

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We present Glimmer, a new multilevel visualization algorithm for multidimensional scaling designed to exploit modern graphics processing unit (GPU) hard-ware. We also present GPU-SF, a parallel, force-based subsystem used by Glimmer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm helps avoid local minima while the GPU parallelism improves speed of computation. We propose a robust termination condition for GPU-SF based on a filtered approximation of the normalized stress function. We demo

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McQuaid, Michael J., Thian-Huat Ong, Hsinchun Chen, and Jay F. Nunamaker. "Multidimensional scaling for group memory visualization." Elsevier, 1999. http://hdl.handle.net/10150/105458.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>We describe an attempt to overcome information overload through information visualization â in a particular domain, group memory. A brief review of information visualization is followed by a brief description of our methodology. We . discuss our system, which uses multidimensional scaling MDS to visualize relationships between documents, and which . we tested on 60 subjects, mostly students. We found three important and statistically significant differences between task performance on an MDS-generated display and

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Tulabandula, Sridhar. "Localization of wireless sensor networks using multidimensional scaling." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4986.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 17, 2008) Includes bibliographical references.

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Sun, Jiang. "Extending the metric multidimensional scaling with bregman divergences." Thesis, University of the West of Scotland, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556070.

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8

Mohd, Yunus Mohd Yusri. "Multivariate statistical process monitoring using classical multidimensional scaling." Thesis, University of Newcastle upon Tyne, 2012. http://hdl.handle.net/10443/1495.

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A new Multivariate Statistical Process Monitoring (MSPM) system, which comprises of three main frameworks, is proposed where the system utilizes Classical Multidimensional Scaling (CMDS) as the main multivariate data compression technique instead of using the linearbased Principal Component Analysis (PCA). The conventional method which usually applies variance-covariance or correlation measure in developing the multivariate scores is found to be inappropriately used especially in modelling nonlinear processes, where a high number of principal components will be typically required. Alternativel

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9

Williams, Michelle A. "A factor structure with means confirmatory factor analytic approach to multitrait-multimethod models." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5010.

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Thesis (M.A.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on November 6, 2007) Includes bibliographical references.

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10

Jansson, Mattias, and Jimmy Johansson. "Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques." Thesis, Linköping University, Department of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1716.

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<p>This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. </p><p>In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. </p><p>In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As

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Mair, Patrick, Ingwer Borg, and Thomas Rusch. "Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding." Taylor & Francis Group, 2016. http://epub.wu.ac.at/5354/1/mairetal2016.pdf.

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Judging goodness of fit in multidimensional scaling requires a comprehensive set of diagnostic tools instead of relying on stress rules of thumb. This article elaborates on corresponding strategies and gives practical guidelines for researchers to obtain a clear picture of the goodness of fit of a solution. Special emphasis will be placed on the use of permutation tests. The second part of the article focuses on goodness-of-fit assessment of an important variant of multidimensional scaling called unfolding, which can be applied to a broad range of psychological data settings. Two real-life dat

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McGlynn, Marion. "The performance of three fitting criteria for multidimensional scaling /." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59652.

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A Monte Carlo study was performed to investigate the ability of MSCAL to recover by Euclidean metric multi-dimensional scaling (MDS) the true structure for dissimilarity data with different underlying error distributions. Error models for three typical error distributions: normal, lognormal, and squared normal are implemented in MSCAL through data transformations incorporated into the criterion function. Recovery of the true configuration and true distances for (i) single replication data with low error levels and (ii) matrix conditional data with high error levels was studied as a function of

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Wolter, Ulrike Tina Barbara. "Multidimensional scaling analysis of coping strategies for chronic pain." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054913618.

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14

Welch, Kathryn A. "The perceived dimensions of jobs: a multidimensional scaling approach." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54806.

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Recent research has revealed ambiguous evidence for the validity of the cognitive complexity (CC) construct. Some authors (Bieri, Atkins, Briar, Leaman, Miller, & Tripodi, 1966; Scott, Osgood, & Peterson, 1979) have suggested that a potentially useful method for examining CC is multidimensional scaling. The present study examined such an operational definition. The present study also examined the perceptual dimensions that underlie individuals' perceptions of jobs. Three hundred and five subjects rated the similarity of pairs of job titles, completed the Role Construct Repertory Test (REP), a

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Yon, Haniza. "Multidimensional item response theory (MIRT) approaches to vertical scaling." Diss., Connect to online resource - MSU authorized users, 2006.

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Thesis (Ph. D.)--Michigan State University. Measurement and Quantitative Methods , 2006.<br>Title from PDF t.p. (viewed on Mar. 30, 2009) Includes bibliographical references (p. 113-119). Also issued in print.

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Timm, Andrew. "An investigation of Multidimensional Scaling with an emphasis on the development of an R based Graphical User Interface for performing Multidimensional Scaling procedures." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/6880.

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This dissertation is centered around the development of a graphical user interface, using the R statistical programing language, for performing Multidimensional Scaling. This program is called the MDS-GUI. Multidimensional Scaling (MDS) is one of the groups of multivariate analysis techniques that is used for dimension reduction. In general, these methods of MDS can be viewed as the problem of constructing a map when given a set of interpoint distances. The graphical configuration is produced, usually in two or three dimensions, in such a way that objects of the data are represented by points,

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Jones, Patricia Ann Blodgett. "Assessment of dimensionality in dichotomously-scored data using multidimensional scaling." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184267.

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The effectiveness of multidimensional scaling (MDS) techniques in recovering the underlying dimensionality of dichotomously-scored data was examined for unidimensional and multidimensional data. Thirty-three data sets of varying numbers of dimensions with differing patterns of item discrimination were generated using a multidimensional latent trait model in a Monte Carlo simulation study. Margin-sensitive measures (agreement, phi, and kappa) and margin-free measures (Φ/ Φ(max), Yule's Q, and the tetrachoric correlation) were used as measures of similarity and the resulting matrices were scaled

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Odondi, Maurice Jacob. "Multidimensional analysis of successive categories (rating) data by dual scaling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ28031.pdf.

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19

Molytė, Alma. "Investigation of Combinations of Vector Quantization Methods with Multidimensional Scaling." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110630_133937-99171.

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Often there is a need to establish and understand the structure of multidimensional data: their clusters, outliers, similarity and dissimilarity. One of solution ways is a dimensionality reduction and visualization of the data. If a huge datasets is analyzed, it is purposeful to reduce the number of the data items before visualization. The area of research is reduction of the number of the data analyzed and mapping the data in a plane. In the dissertation, vector quantization methods, based on artificial neural networks, and visualization methods, based on a dimensionality reduction, have been

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Riley, Anthony David. "Probing chromosome structure using multidimensional scaling of DNA contact matrices." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7262/.

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Chromosome conformation capture technology has provided a route to studying genome structure through DNA-DNA contact-counts. An iteration of chromosome conformation capture technology is Hi-C, which provides genome wide two dimensional contact-count data. The contact-count data from Hi-C can be viewed as a proxy for distance and using some transform function can be transformed into estimated distances. These estimated distances can be fitted into Euclidean space using the statistical tools of multidimensional scaling to give estimated chromosome or genome configurations. The first part of this

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Esparza, Oscar Armando. "Development of a multidimensional fatalism measure." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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22

Ahmed, Ahmed Abdol-Monem. "Experimental study of localization in sensor networks and design of adaptive localization." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/5829.

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Thesis (Ph.D.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (Novembr 15, 2006) Vita. Includes bibliographical references.

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Roach, John O. "Multidimensional scaling of political differences : a study of belief-disbelief systems and ad hoc theories of political psychology around the proposed strategic defense initiative." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/30963.

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24

Broughton, Ross Harold. "Distance from the protype : a multidimensional scaling approach to personality assessment." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26777.

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An MDS (MultiDimenaional Scaling) model of personality assessment is presented as an alternative method of personality assessment designed to incorporate recently discovered cognitive principles relating to how people mentally organize categories (Roach, 1978), including personality trait categories (Broughton, 1984). The MDS model is shown to generalize from a tool for evaluating the self concept and the semantics of interpersonal categories (Partridge, 1984) to one that taps the full gamut of personality assessment in the interpersonal domain as defined by Wiggins (1979). In this paradigm, s

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Klimenta, Mirza [Verfasser]. "Extending the Usability of Multidimensional Scaling for Graph Drawing / Mirza Klimenta." Konstanz : Bibliothek der Universität Konstanz, 2012. http://d-nb.info/1030479127/34.

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26

Welchew, David Edward. "Multidimensional scaling of human brain connectivity in functional magnetic resonance imaging." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615148.

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27

Rusch, Thomas, Patrick Mair, and Kurt Hornik. "COPS Cluster Optimized Proximity Scaling." WU Vienna University of Economics and Business, 2015. http://epub.wu.ac.at/4465/1/COPS.pdf.

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Proximity scaling (i.e., multidimensional scaling and related methods) is a versatile statistical method whose general idea is to reduce the multivariate complexity in a data set by employing suitable proximities between the data points and finding low-dimensional configurations where the fitted distances optimally approximate these proximities. The ultimate goal, however, is often not only to find the optimal configuration but to infer statements about the similarity of objects in the high-dimensional space based on the the similarity in the configuration. Since these two goals are somewhat

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BROOKS, David, and d. brooks@ecu edu au. "Public street surveillance: a psychometric study on the perceived social risk." Edith Cowan University. Computing, Health And Science: School Of Engineering, 2003. http://adt.ecu.edu.au/adt-public/adt-ECU2006.0007.html.

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Public street surveillance, a domain of Closed Circuit Television (CCTV), has grown enormously and is becoming common place with increasing utilization in society as an all-purpose security tool. Previous authors (Ditton, 1999; Davies, 1998; Horne, 1998; Tomkins, 1998) have raised concern over social, civil and privacy issues, but there has been limited research to quantify these concerns. There are a number of core aspects that could relocate the risk perception and therefore, social support of public street surveillance. This study utilized the psychometric paradigm to quantitatively measure

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Chuang, Ming-Chuen. "The application of multidimensional scaling to a robotic vision model of space perception /." Thesis, Connect to Dissertations & Theses @ Tufts University, 1988.

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Thesis (Ph.D.)--Tufts University, 1988.<br>Submitted to the Dept. of Engineering Design. Includes bibliographical references. Access restricted to members of the Tufts University community. Also available via the World Wide Web;

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Kodali, Lata. "Extensions of Weighted Multidimensional Scaling with Statistics for Data Visualization and Process Monitoring." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99911.

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This dissertation is the compilation of two major innovations that rely on a common technique known as multidimensional scaling (MDS). MDS is a dimension-reduction method that takes high-dimensional data and creates low-dimensional versions. Project 1: Visualizations are useful when learning from high-dimensional data. However, visualizations, just as any data summary, can be misleading when they do not incorporate measures of uncertainty; e.g., uncertainty from the data or the dimension reduction algorithm used to create the visual display. We incorporate uncertainty into visualizations cr

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Spencer, Steven Gerry. "The Strength of Multidimensional Item Response Theory in Exploring Construct Space that is Multidimensional and Correlated." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd646.pdf.

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Kapoor, Kunal. "A multidimensional scaling and participatiory design approach to classify open ended aircraft maintenance data." Connect to this title online, 2006. http://etd.lib.clemson.edu/documents/1175186103/.

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33

Bennett, Stephen John. "Curved axes and trajectories for multidimensional scaling, with applications to sensory and consumer data." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494083.

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The analysis of sensory and consumer-derived data involves the use of many different statistical techniques. The vast majority of these are multivariate in for example, multidimensional scaling (MDS) and biplots. However, univariate techniques such as repeated measures analysis of variance and the Bradley-Terry model for paired comparison data are also common. This thesis introduces enhancements to MDS based on the use of curved axes and trajectories.

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Mair, Patrick, Thomas Rusch, and Kurt Hornik. "The grand old party - a party of values?" Springer, 2014. http://dx.doi.org/10.1186/2193-1801-3-697.

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In this article we explore the semantic space spanned by self-reported statements of Republican voters. Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because ..." which were collected from the official website of the Republican Party. With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, an

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Farruggia, Frank Thomas. "A FLORISTIC DESCRIPTION OF A NEOTROPICAL COASTAL SAVANNA IN BELIZE." Miami University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=miami1090942598.

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Deville, Craig W. "An Investigation of Content- and Construct-Related Evidence of Self-Assessment Items Using Multidimensional Scaling." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1389191999.

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Deville, Craig W. "An investigation of content- and construct-related evidence of self-assessment items using multidimensional scaling /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487848891513513.

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Potter, Timothy. "The cognitive representation of face distinctiveness : theoretical contribution and direct evidence for face space models." Université catholique de Louvain, 2008. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-09082008-092444/.

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The distinctiveness of a face is a crucial factor for its ability to be discriminated, memorized, and identified correctly. In this thesis, we provided a contribution to face distinctiveness by examining the impact of socially relevant factors such as attractiveness, group and emotional expression on distinctiveness. We show that attractive faces are more similar to each other than unattractive faces, using female Caucasian faces and male faces of a Caucasian and heterogeneous Non-Caucasian group. We also show, using 3D face generated faces of photo-realistic quality, that attractive faces wer

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Li, Wang-on, and 李允安. "The assessment of learning outcome: knowledgestructure." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31227582.

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Kandathil, Shaun. "On conformational sampling in fragment-based protein structure prediction." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/on-conformational-sampling-in-fragmentbased-protein-structure-prediction(15b113b0-c389-4e8e-ae7c-d399e8a72b03).html.

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Fragment assembly methods represent the state of the art in computational protein structure prediction. However, one limitation of these methods, particularly for larger protein structures, is inadequate conformational sampling. This thesis describes studies aimed at uncovering potential causes of ineffective sampling, and the development of methods to try and address these problems. To identify behaviours that might lead to poor conformational sampling, we developed measures to study fragment-based sampling trajectories. Applying these measures to the Rosetta Abinitio and EdaFold methods show

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Ganey, Raeesa. "Biplots based on principal surfaces." Doctoral thesis, Faculty of Science, 2019. https://hdl.handle.net/11427/31695.

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Principal surfaces are smooth two-dimensional surfaces that pass through the middle of a p-dimensional data set. They minimise the distance from the data points, and provide a nonlinear summary of the data. The surfaces are nonparametric and their shape is suggested by the data. The formation of a surface is found using an iterative procedure which starts with a linear summary, typically with a principal component plane. Each successive iteration is a local average of the p-dimensional points, where an average is based on a projection of a point onto the nonlinear surface of the previous itera

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Choe, Byongho. "Nonmetric multidimensional scaling of complex sounds dimensions of preference ratings and perceived similarity of vehicle noises /." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=962077100.

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Neoh, Jun. "Application of meta-analysis, multidimensional scaling, structural equation modelling, and multilevel modelling in analysing carpooling behaviour." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/395306/.

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Dwyer, Theodore James. "An Assessment of Paired Similarities and Card Sorting." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000158.

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Kim, Young Yee. "Effects of test linking methods on proficiency classification UIRT versus MIRT linking /." Diss., Connect to online resource - MSU authorized users, 2008.

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Thesis (Ph.D.)--Michigan State University. Measurement and Quantiative Methods Educational Policy, 2008.<br>Title from PDF t.p. (viewed on Mar. 30, 2009) Includes bibliographical references (p.193-199). Also issued in print.

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Llerena, Soledad Espezúa. "Mapeamento de dados genômicos usando escalonamento multidimensional." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-30072008-094122/.

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Neste trabalho são exploradas diversas técnicas de escalonamento multidimensional (MDS), com o objetivo de estudar sua aplicabilidade no mapeamento de dados genômicos resultantes da técnica RFLP-PCR, sendo esse mapeamento realizado em espaços de baixa dimensionalidade (2D ou 3D) com o fim de aproveitar a habilidade de análise e interpretação visual que possuem os seres humanos. Foi realizada uma análise comparativa de diversos algoritmos MDS, visando sua aptidão para mapear dados genômicos. Esta análise compreendeu o estudo de alguns índices de desempenho como a precisão no mapeamento, o custo

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Vincent, David E. "PORTABLE INDOOR MULTI-USER POSITION TRACKING SYSTEM FOR IMMERSIVE VIRTUAL ENVIRONMENTS USING SENSOR FUSION WITH MULTIDIMENSIONAL SCALING." Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1335634621.

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Arvidsson, Martin. "Getting a Feel for Tactile Space : Exploring Haptic Perception of Microtexture." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-82593.

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The present thesis is based on three studies that research different aspects of fine texture perception. The goal is to better understand the mechanisms involved in haptic perception of textures below 200 µm, also known as microtextures. Study I was conducted to establish a friction measurement model and relating the friction measurements to perceived coarseness of fine textures. A set of printing papers was used as stimulus material. In Study II an expanded set, including the set of Study I, was used as stimuli in a multidimensional scaling (MDS) experiment of haptic fine texture perception.

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YONEDA, Hiroyuki, Ioki HARA, Takeshi FURUHASHI та ін. "可視空間上でのインタラクティブクラスタリングによるマイノリティ発見に関する検討". 日本感性工学会, 2009. http://hdl.handle.net/2237/20849.

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McNelis, Kathleen. "The underlying dimensionality of people's implicit job theories across cognitive sets : implications for comparable worth /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487262513406512.

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