Timeline for Clustering a set of curves
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Aug 4, 2020 at 21:41 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
edited tags
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| Jan 17, 2019 at 9:31 | comment | added | kjetil b halvorsen♦ | What is important for you in measuring similarity of curves? only the values? derivatives? Something else? This curves can be seen as functions, so some possibilities are: $L_1$, $L_2$, or using derivatives some Sobolev space distance | |
| Aug 2, 2017 at 21:00 | comment | added | Ben | How many curves do you have? Are you trying to cluster (unsupervised) or build a classification model that correctly identifies labeled and unlabeled cases? | |
| Aug 2, 2017 at 2:26 | history | tweeted | twitter.com/StackStats/status/892572262909571073 | ||
| Aug 1, 2017 at 18:58 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
edited tags; loaded figure; edited
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| Aug 1, 2017 at 18:52 | comment | added | Sameer Khanna | Here is an example of what a curve might look like. link | |
| Aug 1, 2017 at 18:48 | comment | added | Sameer Khanna | It is intensity over time. So, for a specific voxel, I would have one intensity value per one time point. | |
| Aug 1, 2017 at 18:47 | review | First posts | |||
| Aug 1, 2017 at 21:24 | |||||
| Aug 1, 2017 at 18:47 | comment | added | gung - Reinstate Monica | Can you provide some example data? What are the "curves" in this context? Are they some kind of densities over values (eg, histograms)? Are they curvilinear relationships b/t 2 different variables? | |
| Aug 1, 2017 at 18:44 | history | asked | Sameer Khanna | CC BY-SA 3.0 |
