[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)