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KMeansAlgorithm
- Class in
ac.essex.ooechs.kmeans
An implementation of the K means clustering algorith, which attempts to find the centroids assumed to be at the center of spherical clusters of points in n dimensional feature space.
KMeansAlgorithm(int, Vector<ClusterClass>)
- Constructor for class ac.essex.ooechs.kmeans.
KMeansAlgorithm
KMeansSolution
- Class in
ac.essex.ooechs.kmeans
A utility class that allows the output of the K means clusterer to be tested on training or unseen data.
KMeansSolution(Vector<Centroid>)
- Constructor for class ac.essex.ooechs.kmeans.
KMeansSolution
Initialises the solution, giving it the list of centroids that were discovered after the K means clustering algorithm was run
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