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m_euclideanDistance
EuclideanDistance m_euclideanDistance
the distance function used.
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m_width
int m_width
The width of lattice
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m_height
int m_height
The height of lattice
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m_convergenceEpochs
int m_convergenceEpochs
The number of epochs in convergence phase
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m_orderingEpochs
int m_orderingEpochs
The number of epochs in ordering phase
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m_learningRate
double m_learningRate
The initial learning rate for the network
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m_instances
Instances m_instances
The training instances.
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m_clusters
Instances m_clusters
The weights for each unit in the lattice.
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m_clusterList
int[] m_clusterList
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m_normalizeAttributes
boolean m_normalizeAttributes
This flag states that the user wants the input values normalized.
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m_attributeMax
double[] m_attributeMax
The maximum value for all the attributes.
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m_attributeMin
double[] m_attributeMin
The minimum value for all the attributes.
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m_calcStats
boolean m_calcStats
This flag states that the user wants to calculate statistics after training.
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m_clusterInstances
Instances[] m_clusterInstances
holds the training instances to clusters assignments
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m_clusterStats
double[][][] m_clusterStats
holds the cluster statistics