Difference between revisions of "Statistical Manager Algorithms"
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Algorithms are clustered in the following categories: | Algorithms are clustered in the following categories: | ||
| − | * | + | * ... to be completed |
* Miscellaneous: algorithms do not belonging to any of the above categories; | * Miscellaneous: algorithms do not belonging to any of the above categories; | ||
| − | + | : [[#TIMEEXTRACTION | TIMEEXTRACTION]], | |
== Clustering == | == Clustering == | ||
Revision as of 18:54, 13 March 2014
The complete list of algorithms supported by the Statistical Manager service is reported below.
Algorithms are clustered in the following categories:
- ... to be completed
- Miscellaneous: algorithms do not belonging to any of the above categories;
Clustering
Ecological Modeling
Signal Processing
Miscellaneous
| TIMEEXTRACTION
| |
|---|---|
| Description | An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram. |
| Type | Transducer |
| Execution | Single machine |
