Relevant bibliographies by topics / Shape principal component analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Shape principal component analysis'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Shape principal component analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Shape principal component analysis"

1

CHANG, CHIN-CHEN, YAW-WEN CHEN, and DANIEL JAMES BUEHRER. "A TWO-DIMENSIONAL SHAPE RECOGNITION SCHEME BASED ON PRINCIPAL COMPONENT ANALYSIS." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 04 (1994): 859–75. http://dx.doi.org/10.1142/s0218001494000449.

Full text
Abstract:
In this paper, we propose a simple, but efficient method to recognize two-dimensional shapes without regard to their translation, rotation, and scaling factors. In our scheme, we use all of the boundary points to calculate the first principal component, which is the first shape feature. Next, by dividing the boundary points into groups by projecting them onto the first principal component, each shape is partitioned into several blocks. These blocks are processed separately to produce the remaining shape features. In shape matching, we compare two shapes by calculating the difference between th
APA, Harvard, Vancouver, ISO, and other styles
2

Cadima, Jorge F. C. L., and Ian T. Jolliffe. "Size- and Shape-Related Principal Component Analysis." Biometrics 52, no. 2 (1996): 710. http://dx.doi.org/10.2307/2532909.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Takalo, Jouni, and Kalevi Mursula. "Principal component analysis of sunspot cycle shape." Astronomy & Astrophysics 620 (December 2018): A100. http://dx.doi.org/10.1051/0004-6361/201833924.

Full text
Abstract:
Aims. We study the shape of sunspot cycles using the Wolf sunspot numbers and group sunspot numbers of solar cycles 1–23. We determine the most typical “model” cycles and the most asymmetric cycles, and test the validity of the two Waldmeier rules: the anti-correlation between cycle height and the length of its ascending phase (rule 1), and between cycle height and the length of the preceding cycle (rule 2). Methods. We applied the principal component analysis to sunspot cycles and studied the first two components, which describe the average cycle shape and cycle asymmetry, respectively. We al
APA, Harvard, Vancouver, ISO, and other styles
4

Orsborn, Seth, Peter Boatwright, and Jonathan Cagan. "Identifying product shape relationships using principal component analysis." Research in Engineering Design 18, no. 4 (2007): 163–80. http://dx.doi.org/10.1007/s00163-007-0036-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Iyengar, Prasana A. "Natural shape detection based on principal component analysis." Journal of Electronic Imaging 2, no. 3 (1993): 253. http://dx.doi.org/10.1117/12.148220.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Huckemann, Stephan, and Thomas Hotz. "Principal component geodesics for planar shape spaces." Journal of Multivariate Analysis 100, no. 4 (2009): 699–714. http://dx.doi.org/10.1016/j.jmva.2008.08.008.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Peng, Brian Corner, and Steven Paquette. "Shape analysis of female torsos based on discrete cosine transform." International Journal of Clothing Science and Technology 27, no. 5 (2015): 677–91. http://dx.doi.org/10.1108/ijcst-03-2014-0035.

Full text
Abstract:
Purpose – The purpose of this paper is to present results of shape analysis of female torso shape using the discrete cosine transform (DCT) from a three-dimensional (3D) whole body scan database. Design/methodology/approach – Torso shape is a central part of body shape and difficult to describe by linear measurements. In order to analyze body shape variation within a population the authors employed a DCT-based shape description method to compresses a dense 3D body scan surface into a small vector that preserves shape and removes size. The DCT-based shape descriptors of torso surfaces are furth
APA, Harvard, Vancouver, ISO, and other styles
8

Wilson, Susan, and Danuta Loesch. "Principal component analysis of shape variables in adult individuals." Annals of Human Biology 16, no. 4 (1989): 361–68. http://dx.doi.org/10.1080/03014468900000482.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gwashavanhu, Benjamin Katerere, Abrie J. Oberholster, and Stephan P. Heyns. "A comparative study of principal component analysis and kernel principal component analysis for photogrammetric shape-based turbine blade damage analysis." Engineering Structures 318 (November 2024): 118712. http://dx.doi.org/10.1016/j.engstruct.2024.118712.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Vasic, Mirjana, Jelica Gvozdanovic-Varga, and Janko Cervenski. "Divergence in the dry bean collection by Principal Component Analysis (PCA)." Genetika 40, no. 1 (2008): 23–30. http://dx.doi.org/10.2298/gensr0801023v.

Full text
Abstract:
We studied the divergence of our beans collection. The study included two qualitative traits, grain color and shape, and 13 quantitative traits, namely three components of plant height, five direct yield components and five chemical properties of grain. The principal component analysis (PCA) showed which of the traits were decisive in genotype differentiation. The principal components were formed based on the correlation matrix and shown through unrotated and rotated values of trait correlation with the main axes. The percentage contribution of particular principal components to total variabil
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Shape principal component analysis"

1

Yu, Jie. "Classification of Genotype and Age of Eyes Using RPE Cell Size and Shape." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/math_theses/118.

Full text
Abstract:
Retinal pigment epithelium (RPE) is a principal site of pathogenesis in age-related macular de-generation (AMD). AMD is a main source of vision loss even blindness in the elderly and there is no effective treatment right now. Our aim is to describe the relationship between the morphology of RPE cells and the age and genotype of the eyes. We use principal component analysis (PCA) or functional principal component method (FPCA), support vector machine (SVM), and random forest (RF) methods to analyze the morphological data of RPE cells in mouse eyes to classify their age and genotype. Our analyse
APA, Harvard, Vancouver, ISO, and other styles
2

Miller, John William. "Differentiation between causes of optic disc swelling using retinal layer shape features." Thesis, University of Iowa, 2018. https://ir.uiowa.edu/etd/6215.

Full text
Abstract:
The optic disc is the region of the retina where the optic nerve exits the back of the eye. A number of conditions can cause the optic disc to swell. Papilledema, optic disc swelling caused by raised intracranial pressure (ICP), and nonarteritic anterior ischemic optic neuropathy (NAION), swelling caused by reduced blood flow to the back of the eye, are two such conditions. Rapid, accurate diagnosis of the cause of disc swelling is important, as with papilledema the underlying cause of raised ICP could potentially be life-threatening and may require immediate intervention. The current clinical
APA, Harvard, Vancouver, ISO, and other styles
3

Bloxson, Julie M. Bloxson. "MINERALOGICAL AND FACIES VARIATIONS WITHIN THE UTICA SHALE, OHIO USING VISIBLE DERIVATIVE SPECTROSCOPY, PRINCIPAL COMPONENT ANALYSIS, AND MULTIVARIATE CLUSTERING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1498664669872459.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Berguin, Steven Henri. "A method for reducing dimensionality in large design problems with computationally expensive analyses." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53504.

Full text
Abstract:
Strides in modern computational fluid dynamics and leaps in high-power computing have led to unprecedented capabilities for handling large aerodynamic problem. In particular, the emergence of adjoint design methods has been a break-through in the field of aerodynamic shape optimization. It enables expensive, high-dimensional optimization problems to be tackled efficiently using gradient-based methods in CFD; a task that was previously inconceivable. However, adjoint design methods are intended for gradient-based optimization; the curse of dimensionality is still very much alive when it comes t
APA, Harvard, Vancouver, ISO, and other styles
5

Dickens, Peter Martin. "Facilitating Emergence: Complex, Adaptive Systems Theory and the Shape of Change." Antioch University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1339016565.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Šmirg, Ondřej. "Detekce lidské postavy v obrazové scéně." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217296.

Full text
Abstract:
The project consists of two distinct levels i.e. separation level and diagnostic level. At the separation level, statistical models of gaussians and color are separately used to classify each pixel as belonging to backgroung or foreground. Adopted method is mixture of gaussians.A mixture of gaussians model is suitable here because the results of the picture tests will not depend on the lens opening, but rather on the colors in the backgroung. A mixture of gaussians model for return data seems reasonable. The achieved results the used method on the real sequences are presented in the thesis. Di
APA, Harvard, Vancouver, ISO, and other styles
7

Appia, Vikram VijayanBabu. "Non-local active contours." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44739.

Full text
Abstract:
This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and robotic vision. More specifically, this thesis deals with a special class of image segmentation technique called Snakes or Active Contour Models. In active contour models, image segmentation is posed as an energy minimization problem, where an objective energy function (based on certain image related features) is defined on the segmenting curve (contour). Typically, a gradient descent energy minimization approach
APA, Harvard, Vancouver, ISO, and other styles
8

Strecha, Juraj. "Sledování pohybu srdečního svalstva v ultrazvukovém záznamu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234947.

Full text
Abstract:
he thesis deals with proposal of an algorithm and implementation of a program that tracks a motion of the heart muscle in the captured ultrasound video of the heart. The point position estimation is calculated by optical flow method. The Active Shape Model method is used to confirm the accuracy of point's position tracking. The user annotates desired structure of the heart arch first and the application displays new points which represent a new deformed heart shape.
APA, Harvard, Vancouver, ISO, and other styles
9

Kpamegan, Neil Racheed. "Robust Principal Component Analysis." Thesis, American University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10784806.

Full text
Abstract:
<p> In multivariate analysis, principal component analysis is a widely popular method which is used in many different fields. Though it has been extensively shown to work well when data follows multivariate normality, classical PCA suffers when data is heavy-tailed. Using PCA with the assumption that the data follows a stable distribution, we will show through simulations that a new method is better. We show the modified PCA can be used for heavy-tailed data and that we can more accurately estimate the correct number of components compared to classical PCA and more accurately identify the subs
APA, Harvard, Vancouver, ISO, and other styles
10

Akinduko, Ayodeji Akinwumi. "Multiscale principal component analysis." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/36616.

Full text
Abstract:
The problem of approximating multidimensional data with objects of lower dimension is a classical problem in complexity reduction. It is important that data approximation capture the structure(s) and dynamics of the data, however distortion to data by many methods during approximation implies that some geometric structure(s) of the data may not be preserved during data approximation. For methods that model the manifold of the data, the quality of approximation depends crucially on the initialization of the method. The first part of this thesis investigates the effect of initialization on manif
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Shape principal component analysis"

1

Jolliffe, I. T. Principal Component Analysis. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4757-1904-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jolliffe, I. T. Principal component analysis. 2nd ed. Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Vidal, René, Yi Ma, and S. S. Sastry. Generalized Principal Component Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-0-387-87811-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Naik, Ganesh R., ed. Advances in Principal Component Analysis. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6704-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sanguansat, Parinya. Principal component analysis - multidisciplinary applications. InTech, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hyvarinen, Aapo. Independent component analysis. J. Wiley, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Juha, Karhunen, and Oja Erkki, eds. Independent component analysis. J. Wiley, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kong, Xiangyu, Changhua Hu, and Zhansheng Duan. Principal Component Analysis Networks and Algorithms. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2915-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Mori, Yuichi, Masahiro Kuroda, and Naomichi Makino. Nonlinear Principal Component Analysis and Its Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0159-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

D, Mobley Curtis, ed. Principal component analysis in meteorology and oceanography. Elsevier, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Shape principal component analysis"

1

Wang, Binhai, Andrew J. Bangham, and Yanong Zhu. "Shape Retrieval by Principal Components Descriptor." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552499_69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Itoh, Hayato, Atsushi Imiya, and Tomoya Sakai. "Volumetric Image Pattern Recognition Using Three-Way Principal Component Analysis." In Spectral and Shape Analysis in Medical Imaging. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51237-2_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zheng, Yanling, Haixiao Liu, Jianwei Niu, Linghua Ran, and Taijie Liu. "3D Human Head Shape Variation by Using Principal Component Analysis." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91397-1_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Yu, Lei, Jianning Li, and Jan Egger. "PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis." In Towards the Automatization of Cranial Implant Design in Cranioplasty II. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92652-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kwatra, Saloni, and Vicenç Torra. "Data Reconstruction Attack Against Principal Component Analysis." In Security and Privacy in Social Networks and Big Data. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5177-2_5.

Full text
Abstract:
AbstractAttacking machine learning models is one of the many ways to measure the privacy of machine learning models. Therefore, studying the performance of attacks against machine learning techniques is essential to know whether somebody can share information about machine learning models, and if shared, how much can be shared? In this work, we investigate one of the widely used dimensionality reduction techniques Principal Component Analysis (PCA). We refer to a recent paper that shows how to attack PCA using a Membership Inference Attack (MIA). When using membership inference attacks against
APA, Harvard, Vancouver, ISO, and other styles
6

Mahmood, Muhammad Tariq, Asifullah Khan, and Tae-Sun Choi. "Shape from Focus Based on Bilateral Filtering and Principal Component Analysis." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89619-7_44.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Farnell, D. J. J., J. Galloway, A. Zhurov, S. Richmond, P. Perttiniemi, and V. Katic. "Initial Results of Multilevel Principal Components Analysis of Facial Shape." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60964-5_59.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Choi-Rokas, Hyegjoo E., K. Han Kim, Peng Li, and K. Blake Mitchell. "Comparative Analysis of Head and Face Shape Using Principal Component Analysis with 1D and 3D Data." In Springer Series in Design and Innovation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-8904-0_45.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Egger, Bernhard, Dinu Kaufmann, Sandro Schönborn, Volker Roth, and Thomas Vetter. "Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64870-5_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Xu, Zhiping, Yiping Zhong, and Shiyong Zhang. "Fast Shape Index Framework Based on Principle Component Analysis Using Edge Co-occurrence Matrix." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893011_50.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Shape principal component analysis"

1

Liu, Heyuan, Yi Zhao, and Fran�ois Mar�chal. "On the role of artificial intelligence in feature oriented multi-criteria decision analysis." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.175488.

Full text
Abstract:
Balancing economic and environmental goals in industrial applications is critical amid challenges like climate change. Multi-objective optimization (MOO) and multi-criteria decision analysis (MCDA) are key tools for addressing conflicting objectives. MOO generates viable solutions, while MCDA selects the optimal option based on key performance indicators such as profitability, environmental impact, safety, and efficiency. However, large datasets pose a challenge in selecting the preferred solution during the MCDA process This study introduces a novel machine learning-enhanced MCDA framework an
APA, Harvard, Vancouver, ISO, and other styles
2

Sjöstrand, Karl, Mikkel B. Stegmann, and Rasmus Larsen. "Sparse principal component analysis in medical shape modeling." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2006. http://dx.doi.org/10.1117/12.651658.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Michel, Abboud, Benzinou Abdesslam, Nasreddine Kamal, and Jazar Mustapha. "Shape restoration for robust tangent principal component analysis." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367190.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Thourn, Kosorl, and Yuttana Kitjaidure. "Multi-view Shape Recognition Based on Principal Component Analysis." In 2009 International Conference on Advanced Computer Control. IEEE, 2009. http://dx.doi.org/10.1109/icacc.2009.69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Poznyakovskiy, Anton A., Thomas Zahnert, Björn Fischer, Nikoloz Lasurashvili, Yannis Kalaidzidis, and Dirk Mürbe. "Statistical shape modeling of human cochlea: alignment and principal component analysis." In SPIE Medical Imaging, edited by Carol L. Novak and Stephen Aylward. SPIE, 2013. http://dx.doi.org/10.1117/12.2007589.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

"Principal Component Analysis of Distal Femur Based on Statistical Shape Model." In WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications. WCSE, 2022. http://dx.doi.org/10.18178/wcse.2022.04.080.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Haugdal, Hallvar, and Kjetil Uhlen. "Mode Shape Estimation using Complex Principal Component Analysis and k-Means Clustering." In 2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA). IEEE, 2019. http://dx.doi.org/10.1109/sgsma.2019.8784556.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Naffouti, Seif Eddine, Yohan Fougerolle, Anis Sakly, and Fabrice Meriaudeau. "A more distinctive representation for 3D shape descriptors using principal component analysis." In 2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2015. http://dx.doi.org/10.1109/sta.2015.7505211.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Celenk, Mehmet, and Inad Aljarrah. "Internal shape-deformation invariant 3D surface matching using 2D principal component analysis." In Electronic Imaging 2006, edited by Brian D. Corner, Peng Li, and Matthew Tocheri. SPIE, 2006. http://dx.doi.org/10.1117/12.650806.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Li, Peng. "Orthogonal Curve Analysis of Human Scalp Shape." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001897.

Full text
Abstract:
This paper presents a shape analysis on orthogonal feature curves of 3D bald head scans with the intention of predicting scalp shape under the hair. While there are currently a number of large scale 3D head data collections available around the world, they unfortunately all suffer from hair obstruction preventing an accurate description of true scalp shape. This study is aimed at exploring the relationship between a small set of head anthropometric measurements and the feature curves of the scalp shape based on a small set of 3D bald head scans. The feature curves include scalp profile along t
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Shape principal component analysis"

1

Zhao, George, Grang Mei, Bulent Ayhan, Chiman Kwan, and Venu Varma. DTRS57-04-C-10053 Wave Electromagnetic Acoustic Transducer for ILI of Pipelines. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0012049.

Full text
Abstract:
In this project, Intelligent Automation, Incorporated (IAI) and Oak Ridge National Lab (ORNL) propose a novel and integrated approach to inspect the mechanical dents and metal loss in pipelines. It combines the state-of-the-art SH wave Electromagnetic Acoustic Transducer (EMAT) technique, through detailed numerical modeling, data collection instrumentation, and advanced signal processing and pattern classifications, to detect and characterize mechanical defects in the underground pipeline transportation infrastructures. The technique has four components: (1) thorough guided wave modal analysis
APA, Harvard, Vancouver, ISO, and other styles
2

MARTIN, SHAWN B. Kernel Near Principal Component Analysis. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/810934.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hamilton, James, and Jin Xi. Principal Component Analysis for Nonstationary Series. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32068.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Aït-Sahalia, Yacine, and Dacheng Xiu. Principal Component Analysis of High Frequency Data. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21584.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Eick, Brian, Zachary Treece, Billie Spencer, et al. Miter gate gap detection using principal component analysis. Engineer Research and Development Center (U.S.), 2018. http://dx.doi.org/10.21079/11681/27365.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Iurasova, Olga, Larysa Ivashko, Oleksandr Maksymov, and Julia Maksymova. Impact of Return on Education on Economic Growth in EU Countries. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.2.6.

Full text
Abstract:
The objective of this article is to assess the impact of returns on the education and professional skills of workers on economic growth in EU countries. Based on open data, two principal components were formed to identify the aggregated influence of selected indicators on GDP growth. These principal components allow for the evaluation of the degree of influence of education and professional skills of workers on GDP growth for each country. Countries were clustered according to the degree of influence of the obtained principal components on the level of economic development using the k-means me
APA, Harvard, Vancouver, ISO, and other styles
7

Federer, W. T., C. E. McCulloch, and J. J. Miles-McDermott. Illustrative Examples of Principal Component Analysis Using SYSTAT/FACTOR. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184920.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Federer, W. T., C. E. McCulloch, and N. J. Miles-McDermott. Illustrative Examples of Principal Component Analysis using BMDP/4M. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada185179.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Krishnaiah, P. R., and S. Sarkar. Principal Component Analysis Under Correlated Multivariate Regression Equations Model. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160266.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Thompson, David C., Janine C. Bennett, Diana C. Roe, and Philippe Pierre Pebay. Scalable multi-correlative statistics and principal component analysis with Titan. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/984172.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Shape principal component analysis' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography