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  1. Pca a.k.a. Portage Creek Airport is a state-owned public-use airport in Portage Creek, located in the Dillingham Census Area of the U.S. state of Alaska. This airport is included in the FAA's National Plan of Integrated Airport Systems for 2011–2015, which categorized it as a general aviation airport.
  2. Pca a.k.a. Ingeniero Juan Guillermo Villasana Airport is an Airport in Mexico.


  1. PCA a.k.a. Pyroglutamic acid is an uncommon amino acid derivative in which the free amino group of glutamic acid or glutamine cyclizes to form a lactam. It is a metabolite in the glutathione cycle that is converted to glutamate by 5-oxoprolinase. Pyroglutamate is found in many proteins including bacteriorhodopsin. N-terminal glutamic acid and glutamine residues can spontaneously cyclize to become pyroglutamate. This is one of several forms of blocked N-terminals which present a problem for N-terminal sequencing using Edman chemistry, which requires a free primary amino group not present in pyroglutamic acid. The enzyme pyroglutamate aminopeptidase can restore a free N-terminus by cleaving off the pyroglutamate residue.
  2. Pca a.k.a. Npp1 is a protein.
    • read more about Npp1
  3. PCA a.k.a. The Algerian Communist Party was a communist party in Algeria. The PCA emerged in 1920 as an extension the French Communist Party and eventually became a separate entity in 1936.
  4. Pca a.k.a. Popoloca, Santa Inés Ahuatempan Language is an human language.
    • also known as Ahuatempan Popoloca, Ngigua, Popoloca de Santa Inés Ahuatempan

Printed dictionaries and other books with definitions for Pca

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Google previewPrincipal Component Regression for Crop Yield Estimation (2016)

by T.M.V Suryanarayana, P. B Mistry

Hence, PCA is performed to reduce the dimensionality of the predictor variables. PCA is also used to downscale GCM outputs of large-scale climatic variables to sub-divisional level. PCA is a way of identifying patterns in data, and expressing ...

Google previewEmerging Trends in the Development and Application of Composite Indicators (2016)

by Jeremic, Veljko, Radojicic, Zoran, Dobrota, Marina

PCA is a useful technique that extracts all the factors (components) underlying a set of variables and transforms a large...

Google previewModeling Coastal and Offshore Processes (2007)

by P. P. G. Dyke

We have already discussed regression in the previous section, and in some ways PCA is a generalisation of regression.

The point about PCA is that the data can be n dimensional and it can pick out the main trend, second best, third best etc ...

Google previewElectical Meterman's Handbook (1912)

by National Electric Light Association

cycle PCA is an adjustable resistance provided to regulate the current in the 60 cycle phasing coil. 140 cycle PC and ...

Google previewElectrical Age (1909)

60-cycle PCA is an adjustable resistance provided to regulate the cur~ rent in the 6o-cycle phasing coil. 14o-cycle PC and F C is the coil ar— ranged to produce a starting torque for friction compensation, which is also used as a phasing coil to ...

Google previewCardiovascular Genetics and Genomics in Clinical Practice (2014)

by Donna K. Arnett, PhD, Sanjiv J. Shah, MD

Principal Component Analysis and Multidimensional Scaling PCA is a standard multivariate technique to explore the variability in gene expression data. Each principal component (PC) is a linear combination of genes that represents the ...

Google previewMachine Vision and Mechatronics in Practice (2015)

by John Billingsley, Peter Brett

PCA is a multi-variable statistical method which explains the variance-covariance structure of a dataset consisting of by linear combination of the variables and provides, dimension reduction and interpretation between the variables [9]. PCA in ...

Google previewIntelligent Computing in Signal Processing and Pattern Recognition (2006)

International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August, 2006 by De-Shuang Huang, George William Irwin

Indeed, PCA is a powerful, well-established technique for data reduction. For some real-world applications, it seems that, PCA is a success in feature extraction and dimensionality reduction[1-8]. However, if data points are not linear separable ...

Google previewEncyclopedia of Measurement and Statistics (2006)

by Neil J. Salkind

Principal component analysis (PCA) is a multivariate analysis technique whose goal is to reduce the dimensionality of a large...

PCA is a fairly old technique, because its basic formulation can be traced back to the work of Pearson, whereas its ...

Google previewEncyclopedia of Evolutionary Biology (2016)

PC1 (PCA) and PC2 (RDA) accounting for 64.2% and 13.3% of life history variation, respectively Corrected for allometric constraints (RDA) Corrected for phylogenetic inertia Support To assess covariation among life-history traits, ...

Google previewEncyclopedia of Forensic and Legal Medicine (2015)

established the Police Complaints Authority (PCA) to replace the Police Complaints Board to improve the investigative procedure. The PCA developed a role in monitoring deaths ...

Google previewEncyclopedia of Computer Science and Technology (1995)

Volume 33 - Supplement 18: Case-Based Reasoning to User Interface Software Tools by Allen Kent, James G. Williams

A signal processing tool that is well suited for this task is principal components analysis (PCA). Basically, PCA performs an eigendecomposition on a matrix (in our case, the time-frequency image of the incoming radar signal), orders the ...

Google previewEncyclopedia of Chromatography 2004 Update Supplement (2004)

by Jack Cazes

Principal Component Analysis (PCA) PCA can be used when the inherent relationships between the columns and rows of a data matrix have to be determined without one (stepwise regression analysis) or more (CCA) being the selected ...

Google previewEncyclopedia of Business Analytics and Optimization (2014)

by Wang, John

Principal componentanalysis (PCA), independent component analysis (ICA), partial least squares (PLS) and singular value decomposition (SVD) techniques are commonly used dimension reduction techniques. PCA is a very popular ...

Google previewThe Dictionary of Contemporary Politics of South America (2015)

by Phil Gunson, Andrew Thompson, Greg Chamberlain

The following parties have no congressional representation: Federal Alliance/AF; Popular Left Front/FIP; Movement Towards Socialism/MAS; Communist Party/ PCA; Workers« Party/PO; Popular Christian Party/PPC; Democratic Socialist ...

Google previewHistorical Dictionary of International Relations (2017)

by Peter Lamb, Fiona Robertson-Snape

Formed in 1899 at the first Hague peace conference, the Permanent Court of Arbitration (PCA) is a framework to resolve disputes between states. It is thus not a traditional court. The PCA was created in order to arbitrate in cases that diplomacy ...

Google previewEncyclopedia of Clinical Psychology Set (2015)

by Robin L. Cautin, Scott O. Lilienfeld

Principal components analysis (PCA) is another procedure that some researchers use to represent the structure of the correlations among a set of variables. Although the theoretical model underlying PCA is inconsistent with the factor analytic ...

Google previewDictionary of Natural Resource Management (2011)

by Katherine Dunster

principal components analysis (PCA) An indirect ordination technique that uses multivariate eigenanalysis to extract axes of maximum variation from either an R-mode (species) resemblance matrix or a Q-mode ( stand) ...

Google previewA Dictionary of Photography ... By T. S. ... The chemical articles of A, B, C, by J. Worden. Illustrated with diagrams (1867)

Then in the triangles PAC, pAC, which lie in the same plane, pA=PA, CA is common to both, and the included angles at A are right angles, therefore the angle Q pCA=PCA. But the angle ECR= PCA, and is in the same plane with it; therefore ...

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Scrabble value of P3C3A1

The value of this 3-letter word is 7 points, but it's not an accepted word in the Official Scrabble Players Dictionary.

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