Timeline for How does different ways of scaling/ normalising variables in K -Means clustering effect clustering [duplicate]
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 5, 2017 at 4:23 | comment | added | Arpit Sisodia | I got you. You are right. Thanks a lot. @Anony-Mousse. | |
| Feb 4, 2017 at 18:49 | comment | added | Has QUIT--Anony-Mousse | Sum of squares must not be compared across different normalization or data. As written above, scale your data set with a tiny constant close to zero to 'fake news" improve your scores. | |
| Feb 4, 2017 at 4:32 | comment | added | Arpit Sisodia | I have seen bss/tss to compare my and others results. They have got it better. | |
| Jan 29, 2017 at 8:43 | comment | added | Has QUIT--Anony-Mousse | How do you compare to your colleagues to decide what is better? I wouldn't be surprised if your solution becomes 'better' if you simply scale everything with 0.01 - indicating that the evaluation criteria is bad. | |
| Jan 29, 2017 at 8:41 | comment | added | Has QUIT--Anony-Mousse | Sensitivity to scaling is a well-known drawback of k-means, so it should be included in the answers there. | |
| Jan 29, 2017 at 6:24 | comment | added | Arpit Sisodia | @Anony -Mousse, yes, your answer of "drawbacks of K-means" is related to the my question, but at the same time how different scaling techniques would change the clustering results is what I am looking for. Actually, in my data science team only other people have got better clusters just by having different scaling techniques. So i wanted to know the reason. Also i am not very expert in the field so may be could't post question in right way but drawbacks related to scaling and different scaling effecting clustering results are indeed not exactly the same questions. :) | |
| Jan 28, 2017 at 9:22 | history | closed | Has QUIT--Anony-Mousse clustering Users with the clustering badge or a synonym can single-handedly close clustering questions as duplicates and reopen them as needed. | Duplicate of How to understand the drawbacks of K-means | |
| Jan 28, 2017 at 7:44 | answer | added | Has QUIT--Anony-Mousse | timeline score: 1 | |
| Jan 28, 2017 at 4:50 | history | asked | Arpit Sisodia | CC BY-SA 3.0 |