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Table 1. Principal component analysis

in
by Alireza Panahi, Qiuming Cheng, Graeme F. Bonham-carter
"... In PAGE 9: ... 60% of the total variability of the data (Fig. 6, Table1 ). The first principal component accounts for c.... ..."

Table 6. Results from analysis of principal components.

in Identification of Green, Yellow and Red Legacy Components
by Magnus C. Ohlsson, Claes Wohlin 1998
"... In PAGE 11: ...Table6 . We used a normal principal component analysis with a orthotran/varimax transformation.... ..."
Cited by 11

Table 3 Principal component analysis results

in unknown title
by unknown authors
"... In PAGE 4: ... Principal component analysis was carried out for training data set with 6AE parameter. The eigen values of principal components (PCs) and their percentage proportions of corresponding variation for training data set are listed in Table3 . The variation of AE data could be acounted for over than 96% with only first two PCs.... ..."

Table 5. Principal Component Analysis results.

in Radio Circular Polarization of Active Galaxies
by Rayner Norris And, D. P. Rayner, W R. P. Norris, R. J. Sault
"... In PAGE 10: ... 7. The PCA output is shown in Table5 . The first principal component shows positive coefficients for all variables, and so is a trend for inverted spectrum, variable sources to have higher values of circular polarization.... ..."

Table 6. Results of Principal Components Analysis.

in The Performance of Multi-Factor Term Structure Models for Pricing and Hedging Caps and Swaptions
by Joost Driessen, Pieter Klaassen, Bertrand Melenberg, Abn-amro Bank Amsterdam 2000
Cited by 6

Table 2. Summary of Principal Components Analysis

in Characterization of Isospectral Graphs Using Graph Invariants and Derived Orthogonal Parameters
by Krishnan Balasubramanian, Subhash C. Basak
Cited by 1

Table 3: Principal Component Analysis (Component Matrix)

in The development and validation of an instrument for assessing users’ perception toward the usability of digital library
by Alex Koohang 2004
Cited by 1

Table 5. Principal Component Analysis PC Singular

in Selection of Multiple Regularization Parameters in Local Ridge Regression Using Evolutionary Algorithms and Prediction Risk Optimization
by J. Wesley Hines, Andrei V. Gribok, Aleksey M. Urmanov, Mark A. Buckner
"... In PAGE 6: ... This regularization parameter reduces the condition number from 130 to 120. Table5 lists the local ridge parameters obtained through the evolutionary algorithm optimization and their corresponding filter factors. We see that the 2nd component (Year) is properly damped out, and that the last component is partially damped.... ..."

TABLE 3 PRINCIPAL COMPONENT ANALYSIS OF CORRELATION MATRIX

in A Multivariate Analysis Of Galaxies In The Hubble Deep
by Fieldnorth Michael Corbin, Michael R. Corbin, Andrea Urban, Elizabeth Stobie, Rodger I. Thompson, Glenn Schneider

TABLE 1 PRINCIPAL COMPONENTS FACTOR ANALYSIS

in unknown title
by unknown authors
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