mlpack
2.2.5
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When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster. More...
Public Member Functions | |
MaxVarianceNewCluster () | |
Default constructor required by EmptyClusterPolicy. More... | |
template<typename MetricType , typename MatType > | |
size_t | EmptyCluster (const MatType &data, const size_t emptyCluster, const arma::mat &oldCentroids, arma::mat &newCentroids, arma::Col< size_t > &clusterCounts, MetricType &metric, const size_t iteration) |
Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster. More... | |
template<typename Archive > | |
void | Serialize (Archive &ar, const unsigned int version) |
Serialize the object. More... | |
When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster.
Definition at line 26 of file max_variance_new_cluster.hpp.
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inline |
Default constructor required by EmptyClusterPolicy.
Definition at line 30 of file max_variance_new_cluster.hpp.
size_t EmptyCluster | ( | const MatType & | data, |
const size_t | emptyCluster, | ||
const arma::mat & | oldCentroids, | ||
arma::mat & | newCentroids, | ||
arma::Col< size_t > & | clusterCounts, | ||
MetricType & | metric, | ||
const size_t | iteration | ||
) |
Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster.
MatType | Type of data (arma::mat or arma::sp_mat). |
data | Dataset on which clustering is being performed. |
emptyCluster | Index of cluster which is empty. |
oldCentroids | Centroids of each cluster (one per column), at the start of the iteration. |
newCentroids | Centroids of each cluster (one per column), at the end of the iteration. This will be modified! |
clusterCounts | Number of points in each cluster. |
assignments | Cluster assignments of each point. |
void Serialize | ( | Archive & | ar, |
const unsigned int | version | ||
) |
Serialize the object.