The Silhouette Score is a metric of performance for clustering that represents the quality of clusters made as a result. More...
Static Public Member Functions  
static double  MeanDistanceFromCluster (const arma::colvec &distances, const arma::Row< size_t > &labels, const size_t &label, const bool &sameCluster=false) 
Find mean distance of element from a given cluster. More...  
template < typename DataType , typename Metric >  
static double  Overall (const DataType &X, const arma::Row< size_t > &labels, const Metric &metric) 
Find the overall silhouette score. More...  
template < typename DataType >  
static arma::rowvec  SamplesScore (const DataType &distances, const arma::Row< size_t > &labels) 
Find the individual silhouette scores for precomputted dissimilarites. More...  
template < typename DataType , typename Metric >  
static arma::rowvec  SamplesScore (const DataType &X, const arma::Row< size_t > &labels, const Metric &metric) 
Find silhouette score of all individual elements. More...  
Static Public Attributes  
static const bool  NeedsMinimization = false 
Information for hyperparameter tuning code. More...  
The Silhouette Score is a metric of performance for clustering that represents the quality of clusters made as a result.
It provides an indication of goodness of fit and therefore a measure of how well unseen samples are likely to be predicted by the model, considering the intercluster and intracluster dissimilarities. Silhoutte Score is dependent on the metric used to calculate the dissimilarities. The best possible score is . Smaller values of Silhouette Score indicate poor clustering. Negative values would occur when a wrong label was put on the element. Values near zero indicate overlapping clusters. For an element i is within cluster average dissimilarity and is minimum of average dissimilarity from other clusters. the Silhouette Score of a Sample is calculated by
The Overall Silhouette Score is the mean of individual silhoutte scores.
Definition at line 40 of file silhouette_score.hpp.

static 
Find mean distance of element from a given cluster.
distances  colvec containing distances from other elements. 
labels  Labels assigned to data by clustering. 
label  label of the target cluster. 
sameCluster  true if calculating mean distance from same cluster. 

static 
Find the overall silhouette score.
X  Columnmajor data used for clustering. 
labels  Labels assigned to data by clustering. 
metric  Metric to be used to calculate dissimilarity. 

static 
Find the individual silhouette scores for precomputted dissimilarites.
distances  Square matrix containing distances between data points. 
labels  Labels assigned to data by clustering. 

static 
Find silhouette score of all individual elements.
(Distance not precomputed).
X  Columnmajor data used for clustering. 
labels  Labels assigned to data by clustering. 
metric  Metric to be used to calculate dissimilarity. 

static 
Information for hyperparameter tuning code.
It indicates that we want to maximize the metric.
Definition at line 99 of file silhouette_score.hpp.