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incSkippedamount()
- Method in class it.unibz.algorithms.types.
DataSet
Increments the number of skipped items
initializeCentroids()
- Method in class it.unibz.algorithms.
KMeans
Method used to complete step 1 of the Kmeans algorithm.
insertString(int, String, AttributeSet)
- Method in class it.unibz.gui.
Jintfilter
Method invoked when the user inputs a string in the Input Text.
Instance
- Class in
it.unibz.algorithms.types
This class is a representation of a clustering point.
Instance(String, String)
- Constructor for class it.unibz.algorithms.types.
Instance
This constructor sets the the coordinates of a Instance
instances
- Variable in class it.unibz.algorithms.
KMeans
Instances
- Variable in class it.unibz.algorithms.types.
Cluster
isClassed
- Variable in class it.unibz.algorithms.types.
Instance
isClassed()
- Method in class it.unibz.algorithms.types.
Instance
This method tells whether the Instance is classed or not
isDouble(String)
- Method in class it.unibz.gui.
Main
isFileSelected
- Variable in class it.unibz.gui.
OpenFileDialog
State variable, true when a file is selected
isFileSelected()
- Method in class it.unibz.gui.
OpenFileDialog
If a file was selected this returns a true.
isIsnoise()
- Method in class it.unibz.algorithms.types.
Cluster
Getter for the isnoise Property
isKey
- Variable in class it.unibz.algorithms.types.
Instance
isKey()
- Method in class it.unibz.algorithms.types.
Instance
Returns true whether if it is the key or false otherwise
isKmeans
- Variable in class it.unibz.gui.
TaskManager
Boolean to indicate when we are dealing with Kmean algorithm
isnoise
- Variable in class it.unibz.algorithms.types.
Cluster
it.unibz.algorithms
- package it.unibz.algorithms
it.unibz.algorithms.types
- package it.unibz.algorithms.types
it.unibz.gui
- package it.unibz.gui
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