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calcCentroid()
- Method in class it.unibz.algorithms.types.
Centroid
This method retrieves the number of data points, then calculates the new centroid.
calcEuclideanDistance()
- Method in class it.unibz.algorithms.types.
Instance
This method calculates the euclidean distance
Centroid
- Class in
it.unibz.algorithms.types
This class represent a centroid.
Centroid(double, double)
- Constructor for class it.unibz.algorithms.types.
Centroid
This constructor assigns only the coordinates to the centroid object
centroid
- Variable in class it.unibz.algorithms.types.
Cluster
clear()
- Method in class it.unibz.algorithms.types.
Cluster
Removes all Instances from the Cluster
clearnoise
- Variable in class it.unibz.algorithms.
KMeans
cluster
- Variable in class it.unibz.algorithms.types.
Centroid
Cluster
- Class in
it.unibz.algorithms.types
This class represent a cluster and contains its name, a centroid object, the square sum and the data points
Cluster(String)
- Constructor for class it.unibz.algorithms.types.
Cluster
This constructor initializes the classes attributes.
cluster
- Variable in class it.unibz.algorithms.types.
Instance
clusters
- Static variable in class it.unibz.algorithms.
DBScan
clusters
- Static variable in class it.unibz.algorithms.
KMeans
contains(Instance)
- Method in class it.unibz.algorithms.types.
Cluster
Checks if the Cluster contains a specific Instance
createAndShowGUI()
- Method in class it.unibz.gui.
Main
Create the GUI and show it.
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