<p>Black line with a square represents the direction of the LDA which coincides exactly with the direction of LDA-PLS when the latent variable is equal to 2 (the proof can be seen from Section 3.2). Red dotted lines of and are the boundary lines which can be correctly separate the two kinds of samples, and all lines between these boundaries can also do. Boundary classification and correspond to the direction of ex-LDA-PLS () and ex-LDA-PLS ().</p
Most post-processors for boundary element (BE) analysis use an auxiliary domain mesh to display doma...
In performing regularized set. operations on two solids, the most difficult step is boundary classif...
International audienceWe present a near linear algorithm for determining the linear separability of ...
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
Linear discriminant analysis (LDA) is a popular technique for supervised dimension reduction. Due to...
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<div><p>Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality re...
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>LDA classifying parameter sets according to the strategy with the highest efficacy score. Shaded ...
Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction ...
margin "The algorithms for constructing the separating hyperplane considered above will be util...
Several two-dimensional linear discriminant analysis LDA (2DLDA) methods have received much attentio...
Observed data often belong to some specific intervals of values (for instance in case of percentages...
a b s t r a c t 2DLDA and its variants have attracted much attention from researchers recently due t...
Most post-processors for boundary element (BE) analysis use an auxiliary domain mesh to display doma...
In performing regularized set. operations on two solids, the most difficult step is boundary classif...
International audienceWe present a near linear algorithm for determining the linear separability of ...
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
Linear discriminant analysis (LDA) is a popular technique for supervised dimension reduction. Due to...
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<div><p>Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality re...
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>LDA classifying parameter sets according to the strategy with the highest efficacy score. Shaded ...
Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction ...
margin "The algorithms for constructing the separating hyperplane considered above will be util...
Several two-dimensional linear discriminant analysis LDA (2DLDA) methods have received much attentio...
Observed data often belong to some specific intervals of values (for instance in case of percentages...
a b s t r a c t 2DLDA and its variants have attracted much attention from researchers recently due t...
Most post-processors for boundary element (BE) analysis use an auxiliary domain mesh to display doma...
In performing regularized set. operations on two solids, the most difficult step is boundary classif...
International audienceWe present a near linear algorithm for determining the linear separability of ...