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The clustering methods, in the prediction phase, assign the data to one of the (un-labelled) clusters estimated in the training phase.
Algorithm | "Type" in the prediction database | Code | Labels | ||||||
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| flaring | N flare | flare index | largest flare | duration flare | flaring <time> | |
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K-Means | "clusteringclassification" | Python | yes | ||||||
Fuzzy C-Means | "clusteringclassification" | Python | yes | ||||||
Possibilistic C-Means | "clusteringclassification" | Python | yes | ||||||
Simulated annealing K-Means | "clusteringclassification" | Python | yes |
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Simulated annealing Fuzzy C-Means | "clusteringclassification" | Python | yes |
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Hybrid Lasso | "classification" | Python | yes | ||||||
Hybrid Logit | "classificationprobability" | Python | yes | ||||||
SVC CV | "classification" | Python | yes |
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| Random Forest | "classificationprobability" | Python | yes | ||||||
MLC Perceptron | "classificationprobability" | Python | yes |
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Neural Network | "classificationprobability" | R | yes |
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Support Vector Machine | "classificationprobability" | R | yes |
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Random Forest | "classificationprobability" | R | yes |
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Linear Models | "classificationprobability" | R | yes |
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Probit | "classificationprobability" | R | yes |
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Logit | "classificationprobability" | R | yes |
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MLR Perceptron | "regression" | Python | yes | ||||||
SVR CV | "regression" | Python |
| yes | yes | yes | yes | yes | |
Poisson Multitask | "regression" | Python |
| yes | |||||
Adaptive Poisson Multitask | "regression" | Python |
| yes | |||||
Adaptive Lasso | "regression" | Python |
| yes | yes | yes | yes | yes | |
Multitask Lasso | "regression" | Python |
| yes | |||||
Adaptive Multitask Lasso | Regr."regression" | Python |
| yes | |||||