- KD_Tree - Class in org.ai_heuristic.tree
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This uses the
KD_TreeNode
for inserting and searching over tree values.
- KD_Tree(int, String, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_Tree
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Create a new instance of KD_Tree.
- KD_Tree(String, int, String, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_Tree
-
Create a new instance of KD_Tree.
- KD_TreeNode - Class in org.ai_heuristic.tree
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This still produces a approximate search result, intended to be optimised by a kd-tree structure.
- KD_TreeNode(int, String, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_TreeNode
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Create a new instance of KD_TreeNode.
- KD_TreeNode(String, int, String, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_TreeNode
-
Create a new instance of KD_TreeNode.
- KD_TreeNode(int, String, MetricDataset, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_TreeNode
-
Create a new instance of KD_TreeNode.
- KD_TreeNode(String, int, String, MetricDataset, FunctionMetric, EvaluateMathDef) - Constructor for class org.ai_heuristic.tree.KD_TreeNode
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Create a new instance of KD_TreeNode.
- kdTree - Variable in class org.ai_heuristic.algo.AlgorithmCompareTree
-
The tree that stores the balanced datasets
- KDTREE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
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This defines a root kd-tree element
- KDTREENODE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
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This defines a kd-tree node element
- KEY - Static variable in class org.ai_heuristic.util.AiHeuristicConst
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This defines a key node element
- KEYLIST - Static variable in class org.ai_heuristic.util.AiHeuristicConst
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This defines a key list node element
- KEYWORD - Static variable in class org.ai_heuristic.util.TextConst
-
Defines a keyword
- KEYWORDS - Static variable in class org.ai_heuristic.util.TextConst
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Defines a keywords list
- KNN - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
The number of neighbours value
- KohonenNeuron - Class in org.ai_heuristic.algo.cluster.som.network
-
Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/
Some classes or packages may have been moved or changed.
- KohonenNeuron(int, double[], FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.KohonenNeuron
-
Creates new neuron with specified numbers of weight.
- KohonenNeuron(double[], FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.KohonenNeuron
-
Creates new neuron with weight specified by array and specified activation function.
- KohonenNeuronWithTired - Class in org.ai_heuristic.algo.cluster.som.network
-
Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/
Some classes or packages may have been moved or changed.
- KohonenNeuronWithTired(int, double[], FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.KohonenNeuronWithTired
-
Creates new kohonen neuron with specified numbers of weight.
- KohonenNeuronWithTired(double[], FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.KohonenNeuronWithTired
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Creates new kohonen neuron with weight specified by array and specified activation function.
- ksize - Variable in class org.ai_heuristic.algo.cluster.NearestNeighbour
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The number of nearest neighbours to return
- KullbackLeibler - Class in org.ai_heuristic.algo.prob
-
This class implements the Kullback-Leibler
divergence going from dataset2 to dataset1.
- KullbackLeibler() - Constructor for class org.ai_heuristic.algo.prob.KullbackLeibler
-
Create a new instance of Kullback-Leibler.
- KullbackLeibler(String) - Constructor for class org.ai_heuristic.algo.prob.KullbackLeibler
-
Create a new instance of Kullback-Leibler.
- KULLBACKLEIBLER - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-