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.
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| MaxVarianceNewCluster () |
| Default constructor required by EmptyClusterPolicy. More...
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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...
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template<typename Archive > |
void | Serialize (Archive &ar, const unsigned int version) |
| Serialize the object. More...
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template<typename MetricType , typename MatType > |
void | Precalculate (const MatType &data, const arma::mat &oldCentroids, arma::Col< size_t > &clusterCounts, MetricType &metric) |
| Called when we are on a new iteration. More...
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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.
Definition at line 28 of file max_variance_new_cluster.hpp.
mlpack::kmeans::MaxVarianceNewCluster::MaxVarianceNewCluster |
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template<typename MetricType , typename MatType >
size_t mlpack::kmeans::MaxVarianceNewCluster::EmptyCluster |
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const MatType & |
data, |
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const size_t |
emptyCluster, |
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const arma::mat & |
oldCentroids, |
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arma::mat & |
newCentroids, |
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arma::Col< size_t > & |
clusterCounts, |
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MetricType & |
metric, |
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const size_t |
iteration |
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Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster.
- Template Parameters
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MatType | Type of data (arma::mat or arma::sp_mat). |
- Parameters
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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. |
- Returns
- Number of points changed.
template<typename MetricType , typename MatType >
void mlpack::kmeans::MaxVarianceNewCluster::Precalculate |
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const MatType & |
data, |
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const arma::mat & |
oldCentroids, |
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arma::Col< size_t > & |
clusterCounts, |
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MetricType & |
metric |
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Called when we are on a new iteration.
template<typename Archive >
void mlpack::kmeans::MaxVarianceNewCluster::Serialize |
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Archive & |
ar, |
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const unsigned int |
version |
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arma::Row<size_t> mlpack::kmeans::MaxVarianceNewCluster::assignments |
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size_t mlpack::kmeans::MaxVarianceNewCluster::iteration |
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arma::vec mlpack::kmeans::MaxVarianceNewCluster::variances |
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The documentation for this class was generated from the following file: