Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with canonical-correlation
Search options not deleted
user 191003
Canonical correlation analysis (CCA) is a method to analyze correlations between two sets of variables. It finds linear combinations of variables in each set such that their correlation is maximal.
2
votes
How to know if Canonical Correlation analysis is overfitting?
Yes, there's an interesting geometric interpretation that easily shows that if $n \le p + q$, some of the canonical correlations will become 1. In short and using your definitions of $X$ and $Y$, thi …
- 919
0
votes
How does Canonical Time Warping help in time alignment?
I think you raise a valid question, which is that "without an initial time-aligned pair of datasets, how can CCA perform well?"
My guess is that the answer is that "CCA doesn't perform well in the f …
- 919
3
votes
How to visualize what canonical correlation analysis does (in comparison to what principal c...
This answer doesn't provide a visual aid for understanding CCA, however a good geometric interpretation of CCA is presented in Chapter 12 of Anderson-1958 [1]. The gist of it is as follows:
Consider …
- 919