Timeline for How to plot High Dimensional supervised K-means on a 2D plot chart
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Sep 11, 2018 at 9:11 | answer | added | Xavier Bourret Sicotte | timeline score: 2 | |
| Aug 26, 2018 at 13:13 | vote | accept | Eran Moshe | ||
| Aug 23, 2018 at 4:41 | history | edited | Eran Moshe | CC BY-SA 4.0 |
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| Aug 22, 2018 at 15:46 | answer | added | Denis Gordeev | timeline score: 2 | |
| Aug 22, 2018 at 11:32 | history | edited | Eran Moshe | CC BY-SA 4.0 |
added 47 characters in body
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| Aug 21, 2018 at 10:22 | comment | added | Frans Rodenburg | You could try and calculate some distance metric, but I personally like the idea of trying to visualize the results. | |
| Aug 21, 2018 at 10:20 | comment | added | Eran Moshe | I wonder if its even a good approach to shed clarity upon the problem (which is, are all the labeled example can be separated enough by the features describing them) | |
| Aug 21, 2018 at 10:18 | comment | added | Frans Rodenburg | Whether 60% is enough is not something others can answer for you. What you could do is try different methods: MDS, ICA, multidimensional unfolding, etc. | |
| Aug 21, 2018 at 7:26 | history | asked | Eran Moshe | CC BY-SA 4.0 |