DataTube2 User GuideThis site gives you the initial and necessary information to run DataTube2, a visual mining application devoted to temporal data.
Ci-dessous, les différences entre deux révisions de la page.
| Prochaine révision | Révision précédente | ||
|
aggregation [2015/02/23 15:59] venturini créée |
aggregation [2015/02/23 16:09] (Version actuelle) venturini |
||
|---|---|---|---|
| Ligne 1: | Ligne 1: | ||
| - | ====== Aggregation ====== | + | ====== Data Processing: Aggregation, Normalization, Reorganization ====== |
| Aggregation can be customized here: | Aggregation can be customized here: | ||
| {{ :agreg1.png?nolink |}} | {{ :agreg1.png?nolink |}} | ||
| + | |||
| + | Data can be normalized locally (min and max are computed for each variable) or globally (min and max of all data): | ||
| + | {{ :norm.png?nolink |}} | ||
| + | |||
| + | The order of the variables around the tube can be changed: | ||
| + | {{ :bea.png?nolink |}} | ||
| + | |||
| + | |||
| + | The "Bond Energy Algorithm" (BEA) places next to each other variables with similar behavior. So it performs a rearrangement clustering. Another option consists in ordering the variables by the time of the first detected event. | ||