[SafeToPrepareAttribute(true)] public SystemData.DataTable GetClusters( string strModel) /// <summary> /// An output row is a quadruple (type, N1, N2, weight) /// For type 1 (Node) N1, N2 are unique name and caption, weight /// is the frequency ? //LX:REVIEW /// For type 2 (Edge) N1, N2 are unique names of the end nodes; /// weight is the edge weight /// </summary> /// <param name="strModel"></param> /// <param name="in_strClusterId"></param> /// <param name="in_nSize"></param> /// <returns></returns> [SafeToPrepareAttribute(true)] public SystemData.DataTable GetNodeGraph( string strModel, string in_strClusterId, int in_nSize) /// <summary> /// This returns a pivoted table of distribution values /// </summary> /// <param name="strModel"></param> /// <param name="cAttributes"></param> /// <param name="cSkip"></param> /// <returns></returns> [SafeToPrepareAttribute(true)] public SystemData.DataTable GetClusterProfiles (string strModel, int cAttributes, int cSkip) [SafeToPrepareAttribute(true)] public SystemData.DataTable GetClusterDiscrimination( string strModel, string strCluster1UniqueID, string strCluster2UniqueID, double dThreshold ) [SafeToPrepareAttribute(true)] public SystemData.DataTable GetClusterDiscrimination( string strModel, string strCluster1UniqueID, string strCluster2UniqueID, double dThreshold, bool in_beRescaled ) [SafeToPrepareAttribute(true)] public SystemData.DataTable GetClusterCharacteristics(string strModel, string strClusterUniqueID, double dThreshold) |