projects / epclust.git / blame
| Commit | Line | Data |
|---|---|---|
| 572d139a BA |
1 | simulateur : complètement aléatoire ? from Irish dataset ? |
| 2 | wavelets methods in statistics with R - p180 | |
| 3 | ||
| 4 | 00-convertir2009 et 2010.R | |
| 5 | 01-extractFeatures.R pour 2009 [utilise Stbr.R] (car on prédit 2010, pas besoin) | |
| 6 | 02-cluster2009.R | |
| 7 | 03-compute-sum-of-classes2009.R | |
| 8 | 05-cluster2WER-2009.R | |
| 9 | 06-prediction.R | |
| 10 | ||
| 11 | Essayer distance wdist du package biwavelet ? | |
| 12 | ||
| 13 | geometric structure of high dim data and dim reduction 2011 | |
| 1568db29 BA |
14 | |
| 15 | https://docs.docker.com/engine/getstarted/step_one/ | |
| 7709d507 BA |
16 | |
| 17 | A faire: | |
| 5edda192 | 18 | - finir les experiences (sur nb de classes, nb de curves / chunk, nb de procs) |
| 7709d507 | 19 | et sur d'autres architectures |
| 5edda192 BA |
20 | ==> code OK, source("wrapper.R") puis |
| 21 | serialize("build", "pathTo2010.csv","pathTo2010.bin") | |
| 22 | ppam_exe("build",np,"pathTo2010.bin","nbSeriesPerChunk nbClusters 1 2") | |
| 23 | C = getMedoids("build", "ppamResult.xml", "ppamFinalSeries.bin") | |
| 24 | quelques_series = deserialize("pathTo2010.bin", rangs...) | |
| 25 | #plot C ... et quelques_series ... | |
| 26 | getDistor("buid", "ppamResult.xml", "pathTo2010.bin") | |
| 27 | ||
| 28 | - interface matrice -> binaire | |
| 29 | OK | |
| 30 | ||
| 7709d507 | 31 | - courbe synchrone |
| 5edda192 | 32 | ?? |
| 7709d507 | 33 | |
| 5edda192 | 34 | Piste à explorer pour les comparaisons: H20 |