Timeline for Applying k-means over PCA
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 2, 2022 at 19:47 | comment | added | Krishna | I believe working on a 2D graph with meaningful vectors, even the clusters can be grouped. So each data point in a cluster can be labeled accordingly. | |
| Jun 2, 2022 at 18:32 | comment | added | frank | @Krishna Clustering is for grouping, so you know that some observations belong together while others don't. What you seem to look for is assigning labels ("good", "average") to your data. That's called classification. | |
| Jun 2, 2022 at 16:21 | comment | added | Krishna | At the end of K-means clustering, a graph was generated representing the clusters with PC1(Principal Component) and PC2 as X & Y-axis. I was using MATLAB and was able to generate the cluster numbers corresponding to each row in the table. But, I would like to know what this clusters represent. For Eg, Is cluster 1 means Good, cluster 2 is average, etc. | |
| Jun 2, 2022 at 16:02 | history | answered | frank | CC BY-SA 4.0 |