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Centroid
- Class in
ac.essex.ooechs.kmeans
A Centroid is a position in N dimensional space, supposedly in the center of a cluster of points.
Centroid(ClusterClass, Position)
- Constructor for class ac.essex.ooechs.kmeans.
Centroid
Initialises the centroid.
centroidInitialisationStrategy
- Variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
centroids
- Variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
centroids
- Variable in class ac.essex.ooechs.kmeans.
KMeansSolution
The centroids that were discovered after the K means clustering algorithm was run
CHOOSE_FIRST_N_POINTS
- Static variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
Centroid initialisation strategy 1: For centroid[i] give it the initial position points[i].position.
CHOOSE_RANDOM_POINT_OF_SAME_CLASS
- Static variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
Centroid initialisation strategy 3: Initialise centroids with the position of a random point which has the same classID as the centroid.
CHOOSE_RANDOM_POINTS
- Static variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
Centroid initialisation strategy 2: Initialise centroids with the position of a random point.
classes
- Variable in class ac.essex.ooechs.kmeans.
KMeansAlgorithm
classID
- Variable in class ac.essex.ooechs.kmeans.
ClusterClass
A numeric ID assigned to the class
clearPoints()
- Method in class ac.essex.ooechs.kmeans.
Centroid
Clears out all points registered with this centroid.
clusterClass
- Variable in class ac.essex.ooechs.kmeans.
Centroid
ClusterClass
- Class in
ac.essex.ooechs.kmeans
A basic class object with an ID and a name that allows some class information to be attached to each centroid.
ClusterClass(int, String)
- Constructor for class ac.essex.ooechs.kmeans.
ClusterClass
copy()
- Method in class ac.essex.ooechs.kmeans.
Position
Makes a copy of this position so that it can be used somewhere else without updating this object's position by accident.
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