A Clusterer trait defines the needed operations for any implemented
clustering algorithm. It provides methods for clustering and for returning
the computed cluster.
It uses the following options:
Number of microclusters (-m)
Initial buffer size (-b)
Number of clusters (-k)
Iterations (-i), number of iterations of the k-means alforithm
A Clusterer trait defines the needed operations for any implemented clustering algorithm. It provides methods for clustering and for returning the computed cluster.
It uses the following options: