Inspect3D: Principal Component Analysis: Difference between revisions
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Inspect3D provides a number of ways to visualize and interact with the results of PCA. An overview of all PCA visualizes can be found in [[Inspect3D_PCA_Graphs| Inspect3D PCA Graphs]]. | Inspect3D provides a number of ways to visualize and interact with the results of PCA. An overview of all PCA visualizes can be found in [[Inspect3D_PCA_Graphs| Inspect3D PCA Graphs]]. | ||
Latest revision as of 17:53, 26 March 2024
| Language: | English • français • italiano • português • español |
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Inspect3D provides a number of ways to visualize and interact with the results of PCA. An overview of all PCA visualizes can be found in Inspect3D PCA Graphs.
This page includes:
- Visualizing the variance explained by each PC individually;
- Visualizing the variance explained by each PC at each point in the signal's cycle;
- Scatter-plotting workspace scores in PC-space;
- Showing the distribution of scores by group for each PC;
- Visualizing the mean and extreme values that result from reconstructing the underlying data with each PC; and
- Visualizing how the signals can be reconstructed from the computed PCs.
Tutorials
For a step-by-step example of how to use Inspect3D to perform PCA on your data, see the PCA Tutorial.
For a step-by-step example of how to use Inspect3D to perform further statistical testing on PCA results, see the Tutorial: Run K-Means.
For a step-by-step example of processing and analyzing large data sets in Inspect3D and using PCA to distinguish between groups, see the Tutorial: Treadmill Walking In Healthy Individuals and the Tutorial: Analysis of Baseball Hitters.