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See:
Description
| Interface Summary | |
|---|---|
| Layer | Interface for map layers. TODO: Currently, this is rather limited to rectangular layer structures. |
| TrainingInterruptionListener | This interface should be implemented by classes that want to train a map with regular interruptions to perform special operations during training. |
| Class Summary | |
|---|---|
| AdaptiveCoordinatesVirtualLayer | |
| AdaptiveCoordinatesVirtualUnit | A virtual unit for the adaptive coordinates visualisation. |
| GrowingCellLayer | |
| GrowingCellUnit | Extension of Unit, needed to save additional data of growing cell structures |
| GrowingLayer | Implementation of a growing Self-Organizing Map layer that can also be static in size. |
| InputContainer | Base container for input data mapped onto units. |
| Label | A simple class representing a unit label. |
| MappedInputs | Wrapper class for input data mapped onto units. |
| MnemonicGrowingLayer | A mnemonic layer is a rectangular layer that might not have all grid positions occupied by units. |
| ToroidLayer | Implementation of a toroid Self-Organizing Map layer, i.e. |
| Unit | Represents a unit on a map. |
| UnitPair | A pair of units. |
| Enum Summary | |
|---|---|
| GrowingLayer.Flip | |
| GrowingLayer.Rotation | |
| Layer.GridLayout | |
| Layer.GridTopology | |
| Unit.FeatureWeightMode | Types of feature weighting modes |
| Exception Summary | |
|---|---|
| LayerAccessException | Is thrown if an illegal access to a layer is performed. |
Provides the basic classes constituting SOM-based neural networks.
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