<p>The points in the plot correspond to individual patients (N = normal patients; AF = atrial fibrillation patients). The plot is spanned by the two most relevant discriminating factors obtained from the two chips. The discriminating line is the result of the application of linear discriminant analysis on the FL2A and FL2B space.</p
For data that have many more features than observations, finding a low-dimensional representation th...
Discriminant analysis scatter plot of the two factors model. Recoded external factor scores (x-axis)...
<p>The three-dimensional plot of the linear discriminant (LD) analysis shows that two breathing patt...
<p>Plot of discriminant functions 1 (x axis) and 2 (y axis) resulting from the DFA (see <a href="htt...
Abstract—Multiple discriminant analysis (MDA) is a general-ization of the Fisher discriminant analys...
<p>Eigenvalues: 4.19 (DF1) and 0.52 (DF2); variance: 84.44% (DF1) and 10.41% (DF2).</p
<p>The x-axis represents the discriminant function from the fatty acid data that gave the greatest p...
<p>Two linear discriminants (LD1 and LD2) were used, following selection of principal components usi...
Factor analysis and discriminant analysis are often used as complementary approaches to identify lin...
<p>Although significantly different, ΔADC and ΔVOL display distinctive overlaps between the two grou...
<p>For interpretation, the proportion of the data set explained by each axis is given and the standa...
<p>Eigenvalues: 40.22 (DF1) and 0.31 (DF2); variance: 87.07% (DF1) and 6.80% (DF2).</p
<p>Discriminant variables and their coefficients are shown, with the top 5 discriminant variables in...
<p>In Fig 1, we tested whether differentiating among patients with two neurodegenerative disorders a...
<p>Projection of the 343 S<sub>2:3</sub> lines on the first plane of a factorial discriminant analys...
For data that have many more features than observations, finding a low-dimensional representation th...
Discriminant analysis scatter plot of the two factors model. Recoded external factor scores (x-axis)...
<p>The three-dimensional plot of the linear discriminant (LD) analysis shows that two breathing patt...
<p>Plot of discriminant functions 1 (x axis) and 2 (y axis) resulting from the DFA (see <a href="htt...
Abstract—Multiple discriminant analysis (MDA) is a general-ization of the Fisher discriminant analys...
<p>Eigenvalues: 4.19 (DF1) and 0.52 (DF2); variance: 84.44% (DF1) and 10.41% (DF2).</p
<p>The x-axis represents the discriminant function from the fatty acid data that gave the greatest p...
<p>Two linear discriminants (LD1 and LD2) were used, following selection of principal components usi...
Factor analysis and discriminant analysis are often used as complementary approaches to identify lin...
<p>Although significantly different, ΔADC and ΔVOL display distinctive overlaps between the two grou...
<p>For interpretation, the proportion of the data set explained by each axis is given and the standa...
<p>Eigenvalues: 40.22 (DF1) and 0.31 (DF2); variance: 87.07% (DF1) and 6.80% (DF2).</p
<p>Discriminant variables and their coefficients are shown, with the top 5 discriminant variables in...
<p>In Fig 1, we tested whether differentiating among patients with two neurodegenerative disorders a...
<p>Projection of the 343 S<sub>2:3</sub> lines on the first plane of a factorial discriminant analys...
For data that have many more features than observations, finding a low-dimensional representation th...
Discriminant analysis scatter plot of the two factors model. Recoded external factor scores (x-axis)...
<p>The three-dimensional plot of the linear discriminant (LD) analysis shows that two breathing patt...