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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Abdi, H and Williams, LJ (2010) Principal component analysis , Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), pp. 433-459

	Abdi, H., & Williams, L. J. (2010) Principal Component Analysis , Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433-459. Available at: https://doi.org/1.12/wics.11

	Abdi, Hervé, and Lynne J. Williams (2010) Principal Component Analysis , Wiley Interdisciplinary Reviews: Computational Statistics 2 (4): 433–459

	Abdi, Hervé, and Lynne J. Williams (2010) Principal Component Analysis , Wiley Interdisciplinary Reviews: Computational Statistics 2 (4): 433–459

	Lam JC, Wan KK, Wong SL, et al (2010) Principal component analysis and long-term building energy simulation correlation , Energy Convers Manag 2010; 51: 135–139

	Gewers, F.L., Ferreira, G.R., Arruda, H.F.D., Silva, F.N., Comin, C.H., Amancio, D.R., Costa, & L.D.F. (2021) Principal Component Analysis: A Natural Approach to Data Exploration , ACM Computing Survey, 54(4), 70:1-70:34. https://doi.org/10.1145/3447755

	Jolliffe IT (2002) Principal component analysis , New York, NY: Springer-Verlag, 2002

	Jolliffe, Ian (2002) Principal Component Analysis , 2nd ed. New York: Springer

	Jolliffe, Ian (2002) Principal Component Analysis , 2nd ed. New York: Springer

	Karhunen J. and Joutsensalo J. (1995) Generalizations of principal component analysis, optimization problems, and neural networks , Neural Networks; 8: 549–562

	Khaled N. and Smaili A. (2005) Curve representation using principal component analysis for shape optimization of path generating mechanisms , Proceedings of IDETC/CIE 2005 ASME 2005 international design engineering techni- cal conferences & computers, Long Beach, CA, 24–28 September 2005, pp. 1–8. New York: ASME

	Platon R, Dehkordi VR and Martel J (2015) Hourly prediction of a building’s electricity consumption using case-based reasoning, artificial neural networks and principal component analysis , Energy Build 2015; 92: 10–18

	Scholz M., Fraunholz M. and Selbig J. (2008) Nonlinear principal component analysis: neural network models and appli- cations , Gorban A, Kegl B, Wunsch D, et al. (eds) Principal manifolds for data visualization and dimension reduction . Berlin: Springer, pp. 44–65

	Su C.-T. and Tong L.-I. (1997) Multi-response robust design by principal component analysis , Total Qual Manag; 8: 409–416

	Svante Wold, Kim Esbensen, and Paul Geladi (1987) Principal Component Analysis , Chemometrics and Intelligent LaboratorySystems, Proceedings of the Multivariate Statistical Workshop forGeologists and Geochemists 2 (1): 37–52

	Svante Wold, Kim Esbensen, and Paul Geladi (1987) Principal Component Analysis , Chemometrics and Intelligent Laboratory Systems, Proceedings of the Multivariate Statistical Workshop for Geologists and Geochemists 2 (1): 37–52

	Tong L.I., Wang C.H. and Chen H.C. (2005) Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution , Int J Adv Manuf Technol; 27: 407–414

	Viviani R, Gron G and Spitzer M (2005) Functional principal component analysis of fMRI data , Hum Brain Mapp 2005; 24: 109–129

	Wold S, Esbensen K and Geladi P (1987) Principal component analysis , Chemom Intell Lab Syst 1987; 2: 37–52

	Wold, S., Esbensen, K., & Geladi, P. (1987) Principal component analysis , Chemometrics and intelligent laboratory systems, 2(1-3), 37-52

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