Timeline for Applying k-means over PCA
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 3, 2022 at 16:22 | comment | added | ttnphns | Here is pca steps, on iris data. Follow it and compare what you get in Matlab. Be careful with terminology. Some programs incorrectly call eigenvector coefficients the loadings (I don't know how Matlab is at that). | |
| Jun 3, 2022 at 14:47 | comment | added | Krishna | @ttnphns 2 PCs constitute more than 70% variance. So I believe that will be sufficient. As I'm working on MATLAB, how is it possible to compare PCs with each column using loading? Actually, I tried to search for an example, but I couldn't find one. Please help me with this. | |
| Jun 3, 2022 at 10:03 | comment | added | ttnphns | Are you sure 2 PCs suffice? How much % variance do they capture? To try to interpret the meaning of a PC you will have to use loadings. But a more straightforward way to understand the differences between the clusters would be to compare them on each of the 20 original features. On some, they will differ, on some, will not. | |
| Jun 2, 2022 at 16:26 | history | edited | Krishna | CC BY-SA 4.0 |
added 87 characters in body
|
| Jun 2, 2022 at 16:02 | answer | added | frank | timeline score: 1 | |
| Jun 2, 2022 at 15:52 | history | edited | Krishna | CC BY-SA 4.0 |
edited body
|
| Jun 2, 2022 at 15:24 | history | edited | Krishna | CC BY-SA 4.0 |
added 11 characters in body
|
| Jun 2, 2022 at 15:21 | history | edited | Krishna | CC BY-SA 4.0 |
added 34 characters in body
|
| S Jun 2, 2022 at 15:19 | review | First questions | |||
| Jun 2, 2022 at 15:37 | |||||
| S Jun 2, 2022 at 15:19 | history | asked | Krishna | CC BY-SA 4.0 |