References
- K. Pearson, "On lines and planes of closest fit to systems of points in space", Phil Mag, vol. 2, pp. 559-572, 1901. https://doi.org/10.1080/14786440109462720
- J. Gower, "Some distance properties of latent root and vector methods used in multivariate analysis", Biometrika, vol. 53, pp. 325-338, 1966. https://doi.org/10.1093/biomet/53.3-4.325
- G. Arnold and A. Collins, "Interpretation of transformed axes in multivariate analysis", Applied Statistics, vol. 42, pp. 381-400, 1993. https://doi.org/10.2307/2986240
- I. Jolliffe, Principal component analysis, Springer, 2002.
- M. Oleksiak, J. Roach, and D. Crawford, "Natural variation in cardiac metabolism and gene expression in fundulus heteroclitus", Nature Genetics, vol. 37, pp. 62-72, 2005.
- Johnson, R. A. and Wichern, D. W., Applied multivariate statistical analysis, Prentice-Hall, NJ, 1982.
- W. R. Zwick and W. F. Velicer, "Comparison of five rules for determining the number of components to retain", Psychological Bulletin, vol. 99, pp. 432-442, 1986. https://doi.org/10.1037/0033-2909.99.3.432
- M. S. Bartlett, "Tests of significance in factor analysis", British Journal of Psychology, vol. 3, pp. 77-85, 1950.
- M. S. Bartlett, "A further note on tests of significance in factor analysis", British Journal of Psychology, vol. 4, pp. 1-2, 1951.
- H. F. Kaiser, "The application of electronic computers to factor analysis", Educational and Psychological Measurement, vol. 20, pp. 141-151, 1960. https://doi.org/10.1177/001316446002000116
- R. B. Cattle, "The scree test for the number of factors", Multivariate Behavioral Research, vol. 1, pp. 245-276, 1966. https://doi.org/10.1207/s15327906mbr0102_10
- J. L. Horn, "A rationale and test for the number of factors in factor analysis", Psychometrika, vol. 30, pp. 179-185, 1965. https://doi.org/10.1007/BF02289447
- W. F. Velicer, "Determining the number of components from the matrix of partial correlations", Psychometrika, vol. 41, pp. 321-327, 1976. https://doi.org/10.1007/BF02293557
- J. Han and M. Kamber, Data mining: concepts & techniques, 2nd ed., Elsevier Inc., New York, 2006.
- S. Jun, "A Big Data Learning for Patent Analysis", Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 5, pp. 406-411, 2013. https://doi.org/10.5391/JKIIS.2013.23.5.406
- B. Choi, J. Kong, and M. Han, "The Model of Network Packet Analysis based on Big Data", Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 5, pp. 392-399, 2013. https://doi.org/10.5391/JKIIS.2013.23.5.392
- K. Kim, J. Jeong, and G. Park, "Assessment of External Force Acting on Ship Using Big Data in Maritime Traffic", Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 5, pp. 379-384, 2013. https://doi.org/10.5391/JKIIS.2013.23.5.379
- S. Hong, and M. Han, "The Efficient Method of Parallel Genetic Algorithm using MapReduce of Big Data", Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 5, pp. 385-391, 2013. https://doi.org/10.5391/JKIIS.2013.23.5.385
- H. C. Cho, and Y. J. Jung, "Probabilistic Modeling of Photovoltaic Power Systems with Big Learning Data Sets", Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 5, pp. 412-417, 2013. https://doi.org/10.5391/JKIIS.2013.23.5.412
- J. H. Cho, D. J. Lee, J. I. Park and M. G. Chun, "Feature Extraction and Classification of High Dimensional Biomedical Spectral Data", Journal of Korean Institute of Intelligent Systems, Vol. 19, No. 3, pp. 297-303, 2009. https://doi.org/10.5391/JKIIS.2009.19.3.297
- W. G. Cochran, Sampling techniques, 3rd ed., New York, Wiley, 1977.
- W. R. Zwick and W. F. Velicer, "Factors influencing four rules for determining the number of components to retain", Multivariate Behavioral Research, vol. 17, pp. 253-269, 1982. https://doi.org/10.1207/s15327906mbr1702_5
- N. Cliff, "The eigen value greater than one rule and the reliability of components", Psychological Bulletin, vol. 103, pp. 276-279, 1988. https://doi.org/10.1037/0033-2909.103.2.276
- R. L. Gorsuch, Factor analysis, 2nd ed., Lawrence Erlbaum Associates, Inc., 1983.
- B. P. O'Connor, "SPSS and SAS programs for determining the number og components using parallel analysis and Velicer's MAP test", Behavioral Research Methods Instruments & Computers, vol. 32, pp. 396-402, 2000. https://doi.org/10.3758/BF03200807
- L. W. Glorfeld, "An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to rertain", Educational and Psychological Measurement, vol. 55, pp. 377-393, 1995. https://doi.org/10.1177/0013164495055003002
- R Development Core Team, R: A language and environment for statistical computing, R Foundation for statistical computing, http://www.R-project.org, 2011.
Cited by
- A statistical multivariable optimization method using improved orthogonal algorithm based on large data vol.87, pp.14, 2017, https://doi.org/10.1080/00949655.2017.1339241