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K

KD_Tree - Class in org.ai_heuristic.tree
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
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
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
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
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
This defines a root kd-tree element
KDTREENODE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
This defines a kd-tree node element
KEY - Static variable in class org.ai_heuristic.util.AiHeuristicConst
This defines a key node element
KEYLIST - Static variable in class org.ai_heuristic.util.AiHeuristicConst
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
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
Creates new kohonen neuron with weight specified by array and specified activation function.
ksize - Variable in class org.ai_heuristic.algo.cluster.NearestNeighbour
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
 
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