Database Reference
In-Depth Information
This provides us with a graph expressing the most salient features of the dataset in
two dimensions:
How it works...
Conceptually, PCA projects the entire dataset on a lower-dimensional space and rotates to a
view that captures the maximum variability it can see from that dimension.
In the preceding chart, we can see that most of the data clusters are around the origin.
A few points trail off to the higher numbers of the graph.
