Timeline for Multidimensional scaling on distance or similarity matrix
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jun 26, 2018 at 14:22 | answer | added | kjetil b halvorsen♦ | timeline score: 2 | |
| Feb 26, 2013 at 19:37 | comment | added | ttnphns | @Dzung, you should consult your software documentation. MDS implementations vary in how they preprocess input proximity matrices, How and when they convert a similarity into a distance etc. | |
| Feb 26, 2013 at 19:21 | comment | added | Peter Flom | That's not a bug, it's a feature! :-). Seriously, isn't this a desirable behavior? | |
| Feb 26, 2013 at 18:30 | comment | added | ttnphns | This is because MDS software which converts similarities into dissimilarities do it other way than by formula sqrt(1-similarity). That formula - precisely, sqrt[2(1-similarity)] -- is best to convert Pearson correlation or cosine into euclidean distance, so it isn't universal. | |
| Feb 26, 2013 at 18:24 | history | edited | ttnphns |
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| Feb 26, 2013 at 18:18 | history | asked | Dzung Nguyen | CC BY-SA 3.0 |