Search Results

1 - 10 of 476 items :

  • "Principal Components Analysis" x
Clear All
Fault Detection and Isolation with Robust Principal Component Analysis

References Chiang L. H. and Colegrove L. F. (2007). Industrial implementation of on-line multivariate quality control, Chemometrics and Intelligent Laboratory Systems 88(2): 143-153. Croux C., Filzmoser P. and Oliveira M. (2007). Algorithms for projection-pursuit robust principal component analysis, Chemometrics and Intelligent Laboratory Systems 87(2): 218-225. Croux C. and Ruiz-Gazen A. (2005). High breakdown estimators for principal components: The projection-pursuit approach

Open access
Competitiveness of the Wielkopolska Region in Terms of a Knowledge-Based Economy

.), Konkurencyjność regionów. Wydawnictwo Akademii Ekonomicznej im. O. Langego we Wrocławiu, Wrocław: 57-83. Klasik A., 2003. Strategie konkurencyjne polskich regionów. Biuletyn KPZK PAN , 204: 63-79. Lista 500. Największe firmy Rzeczpospolitej. (2008, April 29). Rzeczpospolita. Maćkiewicz A., Ratajczak W., 1993. Principal components analysis (PCA). Computers and Geosciences , 19(3): 303-342. Markowski T., 2005. Przedmiotowa i podmiotowa konkurencyjność regionów. Biuletyn

Open access
Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification

and Machine Intelligence , 26, 131-137. [11] Zhang, D.Q., Zhou, Z.H. (2005). (2D)(2)PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing , 69, 224-231. [12] Kiatpanichagij, K., Afzulpurkar, N. (2009). Use of supervised discretization with PCA in wavelet packet transformation-based surface electromyrogram classification. Biomedical Signal Processing and Control , 4, 127-138. [13] Jolliffe, I.T., Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical

Open access
Dimensionality of an urban transport system based on ISO 37120 indicators for the case of selected European cities

transport indicators for selected European cities using the principal components analysis. In addition, outstanding transport systems are identified. The article is based on literature studies and the methods of statistical analysis. 1 Literature review The scientific literature contains many papers on the topic of urban transport. Crainic et al. elucidated that city logistics aimed to reduce the nuisances associated with freight transportation in urban areas while supporting their economic and social development (Crainic et al., 2007). Fistola supposed that urban

Open access
Pre-processing of inkjet prints NIR spectral data for principal component analysis

-993330-3-2. Gál L, Oravec M, Čeppan M (2014) PCA and Fiber Optics VIS-NIR and NIR Reflectance Spectra for Examination of Inkjet Prints in Forensic Analysis, 7th International Symposium of Information and Graphic Arts Technology, Slovenia, June 5-6. Hofer R (2004) Journal of Forensic Science 49: 1353-1357. Jolliffe IT (2002) Principal Component Analysis, Second Edition. Springer-Verlag New York, ISBN 0-387-95442-2. Lavine BK (1998) Anal. Chem 70: 209-228. Marida KV, Kent JT, Bibby JM (1979) Academic Press Inc. 24

Open access
A Simple Method for Limiting Disclosure in Continuous Microdata Based on Principal Component Analysis

Statistical Databases, edited by J. Domingo-Ferrer. Lecture Notes in Computer Science, 8744: 117-129. Springer International Publishing. Doi: http://dx. doi.org/10.1007/978-3-319-11257-210. Jolliffe, I. 2002. Principal Component Analysis. New York, USA: Springer. Kim, H., A. Karr, and J. Reiter. 2015. “Statistical Disclosure Limitation in the Presence of Edit Rules.” Journal of Official Statistics 31: 121-138. Doi: http://dx.doi.org/10.1515/jos-2015-0006. Liew, C., U. Choi, and C. Liew. 1985. “A Data Distortion by Probability

Open access
Application of Artificial Neural Networks and Principal Component Analysis to Predict Results of Infertility Treatment Using the IVF Method

REFERENCES Bottaci, L., Drew, P. J., Hartley, J. E., Hadfield, M. B., Farouk, R., Lee, P. W. R., Macintyre, et al. (1997) Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions. The Lancet , 350(9076), 469–472. Buciński, A., Bączek, T., Krysiński, J., Szoszkiewicz, R., & Załuski, J. (2007). Clinical data analysis using artificial neural networks (ANN) and principal component analysis (PCA) of patients with breast cancer after mastectomy. Reports of Practical Oncology and Radiotherapy , 12

Open access
Impact of sample size on principal component analysis ordination of an environmental data set: effects on eigenstructure

(pp. 61–87). New York: Routledge Publisher. Barrett, P.T. & Kline P. (1981). The observation to variable ratio in factor analysis. Personality Study and Group Behaviour, 1 , 23−33. Bray, J.R. & Curtis J.T. (1957). An ordination of the upland forest communities of Southern Wisconsin. Ecol. Monogr ., 27, 325–349. DOI: 10.2307/1942268. Bryant, F.B. & Yarnold P.R. (1995). Principal components analysis and exploratory and confirmatory factor analysis. In L.G. Grimm & R.R. Yarnold (Eds.), Reading and understanding multivariate statistics (p p. 99

Open access
Principal component analysis for authorship attribution

Principal component analysis for authorship attribution

Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts. The features extracted from texts are mostly the counts of so called function words. Objectives: The data extracted are processed further to compress as a data with less number of features, such a way that the compressed data still has the power of effective discriminators. In this case feature space has less dimensionality then the text itself. Methods/Approach: In this paper, the data collected by counting words and characters in around a thousand paragraphs of each sample book, underwent a principal component analysis performed using neural networks. Once the analysis was complete, the first of the principal components is used to distinguish the books authored by a certain author. Results: The achieved results show that every author leaves a unique signature in written text that can be discovered by analyzing counts of short words per paragraph. Conclusions: In this article we have demonstrated that based on analyzing counts of short words per paragraph authorship could be traced using principal component analysis. Methodology could be used for other purposes, like fraud detection in auditing.

Open access
Process of ranking countries by level of development

Abstract

The paper presents the process of ranking and classifying countries using the I-distance method. The I-distance method is a method of classification and multidimensional ranking based on the distance values between selected indicators. The selection of indicators was carried out using the principal components analysis, whereby the statistical software SPSS (Statistical Package for Social Sciences), the latest version 21th PASW Statistics, is used. The application of the I-distance determines the relative efficiency indicators. Classification and ranking are conducted based on the economic development using macroeconomic indicators for the selected European countries.

Open access