| | 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 |
| | 14 | |
| | 15 | https://docs.docker.com/engine/getstarted/step_one/ |
| | 16 | |
| | 17 | A faire: |
| | 18 | - finir les experiences (sur nb de classes, nb de curves / chunk, nb de procs) |
| | 19 | et sur d'autres architectures |
| | 20 | |
| | 21 | |
| | 22 | |
| | 23 | |
| | 24 | |
| | 25 | dans old_C_code/build : |
| | 26 | cmake ../stage1/src |
| | 27 | make |
| | 28 | |
| | 29 | dans data/, lancer R puis : |
| | 30 | source("../old_C_code/wrapper.R") |
| | 31 | serialize("../old_C_code/build", "2009.csv","2009.bin") |
| | 32 | |
| | 33 | |
| | 34 | |
| | 35 | ppam_exe("build",np,"pathTo2010.bin","nbSeriesPerChunk nbClusters 1 2") |
| | 36 | C = getMedoids("build", "ppamResult.xml", "ppamFinalSeries.bin") |
| | 37 | quelques_series = deserialize("pathTo2010.bin", rangs...) |
| | 38 | #plot C ... et quelques_series ... |
| | 39 | getDistor("buid", "ppamResult.xml", "pathTo2010.bin") |
| | 40 | |
| | 41 | - interface matrice -> binaire |
| | 42 | OK |
| | 43 | |
| | 44 | - courbe synchrone |
| | 45 | ?? |
| | 46 | |
| | 47 | Piste à explorer pour les comparaisons: H20 |
projects / epclust.git / blame_incremental