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DataMining.ClusterAnalysis.SimpleTest

persistent class DataMining.ClusterAnalysis.SimpleTest extends %Library.Persistent

SQL Table Name: DataMining_ClusterAnalysis.SimpleTest

This is a simple demo and test for Cluster Analysis algorithms included with DeepSee.

The 2-dimensional dataset consists of 9 points clearly distributed between two clusters.

Run ##class(DataMining.ClusterAnalysis.SimpleTest).test() or see also Graphical Zen Demo implemented in class DataMining.ClusterAnalysis.ZenDemoPage

Property Inventory

Method Inventory

Properties

property X as %Double;
Property methods: XDisplayToLogical(), XGet(), XGetStored(), XIsValid(), XLogicalToDisplay(), XNormalize(), XOdbcToLogical(), XSet()
property Y as %Double;
Property methods: YDisplayToLogical(), YGet(), YGetStored(), YIsValid(), YLogicalToDisplay(), YNormalize(), YOdbcToLogical(), YSet()

Methods

classmethod insert(x As %Double, y As %Double) as %Status
classmethod populate() as %Status
classmethod test(verbose As %Integer = 1, NClusters As %Integer = 2)

Indexes

index (IDKEY on ) [IdKey, Type = key];
Index methods: IDKEYCheck(), IDKEYDelete(), IDKEYExists(), IDKEYOpen(), IDKEYSQLCheckUnique(), IDKEYSQLExists(), IDKEYSQLFindPKeyByConstraint(), IDKEYSQLFindRowIDByConstraint()

Inherited Members

Inherited Methods

Storage

Storage Model: CacheStorage (DataMining.ClusterAnalysis.SimpleTest)

^DataMining.Clus7500.SimpleTestD(ID)
=
%%CLASSNAME
X
Y
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