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%DeepSee.extensions.clusters.DissimilarityModel

Class %DeepSee.extensions.clusters.DissimilarityModel Extends AbstractModel [ System = 4 ]

Properties​

LinkageType​

Property LinkageType As %EnumString(VALUELIST = ",single,complete,average");

State​

Property State [ MultiDimensional ];

MinSize​

Property MinSize As %Integer [ InitialExpression = 0 ];

Outliers​

Property Outliers As %Integer;

ConstructHierarchy​

Property ConstructHierarchy As %Boolean [ InitialExpression = 0 ];

NewickTree​

Property NewickTree As %String;

Hierarchy Tree in Newick Format

Tree​

Property Tree As %String [ MultiDimensional ];

Mapper​

Property Mapper As %RegisteredObject;

Methods​

New​

ClassMethod New(dsName As %String, type As %EnumString, Output sc As %Status) As DissimilarityModel

Open​

ClassMethod Open(dsName As %String, type As %EnumString, Output sc As %Status) As DissimilarityModel

Create​

ClassMethod Create(dsName As %String, type As %EnumString, new As %Boolean, Output sc As %Status) As DissimilarityModel [ Private ]

SetCost​

Method SetCost(costCalculator As %RegisteredObject = "") As %Status

IsPrepared​

Method IsPrepared() As %Boolean

GetClusterDissimilarity​

Method GetClusterDissimilarity(k1 As %Integer, k2 As %Integer, Output sc As %Status) As %Double

RelativeClusterCost​

Method RelativeClusterCost(k As %Integer, m As %Integer, Output sc As %Status) As %Double

Init​

Method Init() As %Status

Reduce​

Method Reduce() As %Status

GetEffNumCL​

Method GetEffNumCL(Output sc As %Status) As %Integer

Save​

Method Save() As %Status

Execute​

Method Execute(K As %Integer) As %Status

TotalCost​

Method TotalCost()

SetSampleData​

Method SetSampleData(list As %List) As %Status

Test​

ClassMethod Test(N As %Integer, K As %Integer, type As %String, hier As %Boolean = 0, slist As %String = "") As %Status