Your English writing platform
Discover LudwigExact(18)
PCA plane computation.
We project all the points into the PCA plane.
Figure 4 Projection of the point cloud into their PCA plane.
These point clouds are aligned according to their centroid and projected into their PCA plane.
After that, they are projected into their PCA plane, obtaining a representation of the cycle particularly robust against view changes.
In short, the 3D point cloud of a cycle sequence are aligned and grouped, and then projected into their PCA plane.
Similar(42)
The required probability density function (PDF) is gained by smoothing over points in the two dimensional PCA-plane (Parzen window approach [46], [ 47, Chapter 4.3]).
The standard deviations along each PC-axis can serve as a threshold for closeness and we consider each of the singular nodes to occupy a certain volume in the PCA-plane, i.e. an ellipse-shaped area centred on it.
After assigning probabilities to all nodes (Step 3), nodes with an exceptionally low probability come into focus: These outliers correspond to points in the PCA-plane that are spatially separated from larger clusters; and this separation corresponds to abnormalities of measured features.
(2) Teeth-part rough locating: though not always necessary, this is a plane-estimating technique, based on PCA that produces a cutting plane to separate gingiva and teeth part, introduced in previous works [ 1, 20].
Principal component analysis (PCA) with simple Euclidean plane calculation was used for pattern recognition and evaluation of adulteration percentages.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com