Timeline for Daily versus monthly averaged values for better cluster analysis
Current License: CC BY-SA 3.0
13 events
when toggle format | what | by | license | comment | |
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S Nov 29, 2016 at 5:37 | history | bounty ended | pacomet | ||
S Nov 29, 2016 at 5:37 | history | notice removed | pacomet | ||
Nov 29, 2016 at 1:16 | answer | added | Sid | timeline score: 1 | |
Nov 27, 2016 at 17:05 | answer | added | one_observation | timeline score: 1 | |
Nov 22, 2016 at 14:35 | answer | added | GD_N | timeline score: 2 | |
Nov 22, 2016 at 8:30 | history | tweeted | twitter.com/StackStats/status/800979782154539008 | ||
S Nov 22, 2016 at 7:46 | history | bounty started | pacomet | ||
S Nov 22, 2016 at 7:46 | history | notice added | pacomet | Draw attention | |
Nov 21, 2016 at 20:22 | comment | added | whuber♦ | This question is not suitable for migration to Stack Overflow. Please consult our help center for guidance on how to get more attention for a question. | |
Nov 18, 2016 at 10:19 | comment | added | pacomet | @dimpol I want clusters to correlate different and significant areas with precipitations around the Med basin. And also to look for climatic trends at a smaller scale than the whole basin. | |
Nov 18, 2016 at 10:04 | comment | added | Dark_Knight | Usually for k-mean cluster analysis, sum of the squared error (SSE) is the optimal way for finding the precise number of clusters. | |
Nov 18, 2016 at 9:54 | comment | added | dimpol | What do you want to use the clusters for? | |
Nov 18, 2016 at 9:27 | history | asked | pacomet | CC BY-SA 3.0 |