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Your search for [subject]Component analysis returned 14 records. |
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Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: A case study on Jajrood River (Tehran, Iran).
by Razmkhah, Homa; Amsterdam: Elsevier Ltd, 2009.
Subject: Engineering; Principal component analysis; Exploratory data analysis; Cluster analysis.
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Probability estimation of rainfall incidence at selected synoptic stations in the Philippines.
by David, Shirley J.; Quezon City: University of the Philippines, 2002.
Subject: rainfall amount -- analysis of variance -- variance component analysis -- lag-correlation analysis -- 2002 -- Quezon City .
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Assessing relationships among life-cycle environmental impacts with dimension reduction techniques.
by Lozano, Sebastian; Amsterdam: Elsevier Ltd, 2009.
Subject: Engineering; Principal component analysis -- Methods; Multivariate Analysis; Case Reports.
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Surface water quality and its control in a river with intensive human impactsea case study of the Xiangjiang River, China.
by Yu Sun; Amsterdam: Elsevier Ltd, 2010.
Subject: Ecology; Environmental Monitoring; Principal Component Analysis; Humans -- China; Water Pollution -- Analysis.
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Watershed-scale assessment of arsenic and metal contamination in the surface soils surrounding Miyun Reservoir, Beijing, China.
by John P. Giesy; Amsterdam: Elsevier Ltd, 2010.
Subject: Ecology; Geographic Information Systems; Multivariate Analysis; Principal Component Analysis; Risk Assessment.
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Principal component analysis.
by Jolliffe, I. T.; New York: Springer-Verlag, 2002.
Subject: Principal component analysis.
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Principal component analysis.
by Jolliffe, I. T.; New York: Springer-Verlag, 1986.
Subject: Principal component analysis.
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Predicting consumer acceptability of crispy Pili Nuts based on sensory and physical attributes.
by Ciron, Christian E; Quezon City: University of the Philippines, 2004.
Subject: Principal component analysis; Correlation statistics.
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Recognizing faces using Kernel Eigenfaces and support vector machines.
by Naval, Prospero C.;
Subject: Principal Component Analysis; Face recognition systems.
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SVD vs PCA : comparison of performance in an imaging spectometer.
Subject: Spectrometer; Single-value decomposition(SVD); Principal Component Analysis(PCA).
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