C# Class KdKeys.DataMining.Clustering.KMeans.KdKMeans

Méthodes publiques

Méthode	Description
ClusterDataSet ( ClusterCollection clusters, double data ) : ClusterCollection	Seperates a dataset into clusters or groups with similar characteristics
ClusterDataSet ( int clusterCount, double data ) : ClusterCollection	Seperates a dataset into clusters or groups with similar characteristics
ClusterMean ( double cluster ) : double[]	Calculates The Mean Of A Cluster OR The Cluster Center
EuclideanDistance ( double X, double Y ) : double	Calculates the Euclidean Distance Measure between two data points
KdKMeans ( ) : System
ManhattanDistance ( double X, double Y ) : double	Calculates the Manhattan Distance Measure between two data points
Serialize ( System myObject, string writeToXmlPath ) : bool	Saves or Serializes a Cluster Collection To an Xml file

Seperates a dataset into clusters or groups with similar characteristics

public ClusterDataSet ( ClusterCollection clusters, double data ) : ClusterCollection
clusters	ClusterCollection	A collection of data clusters
data	double	An array containing data to b eclustered
Résultat	ClusterCollection

Seperates a dataset into clusters or groups with similar characteristics

public ClusterDataSet ( int clusterCount, double data ) : ClusterCollection
clusterCount	int	The number of clusters or groups to form
data	double	An array containing data that will be clustered
Résultat	ClusterCollection

Calculates The Mean Of A Cluster OR The Cluster Center

public ClusterMean ( double cluster ) : double[]
cluster	double	/// A two-dimensional array containing a dataset of numeric values ///
Résultat	double[]

Calculates the Euclidean Distance Measure between two data points

public EuclideanDistance ( double X, double Y ) : double
X	double	An array with the values of an object or datapoint
Y	double	An array with the values of an object or datapoint
Résultat	double

public KdKMeans ( ) : System
Résultat	System

Calculates the Manhattan Distance Measure between two data points

public ManhattanDistance ( double X, double Y ) : double
X	double	An array with the values of an object or datapoint
Y	double	An array with the values of an object or datapoint
Résultat	double

Saves or Serializes a Cluster Collection To an Xml file

public static Serialize ( System myObject, string writeToXmlPath ) : bool
myObject	System	A serializable object to be persisted to an Xml file
writeToXmlPath	string	The location of the Xml file tha will contain serialized data
Résultat	bool