Timeline for Which classification algorithm to choose for classifying driving patterns (GPS coordinates) and mapping them to drivers?
Current License: CC BY-SA 3.0
4 events
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| Mar 11, 2016 at 9:14 | comment | added | João Paulo Figueira | There is no formula for the number of features you need, you will have to try them out and check against some quality metric. One possible option is to use PCA against a large set of features and have the algorithm generate a new set of recombined features for you. If you want to explain the classification using the original set of features, then at least check for correlations between them so you can weed out correlated features that add little information. | |
| Mar 11, 2016 at 6:53 | comment | added | Paritosh Tiwari | Thanks. If I use KNN, then first I will have to form clusters of the training data set based on some characteristics or features. You gave some examples on the type of features like average speed, left and right turns, etc. How many features do I need to get an above average performance? I don't need it to be highly accurate. | |
| Mar 10, 2016 at 18:08 | review | First posts | |||
| Mar 11, 2016 at 0:49 | |||||
| Mar 10, 2016 at 18:04 | history | answered | João Paulo Figueira | CC BY-SA 3.0 |