ConnectivityMatrix Class

SystemObject
  CenterSpace.NMath.CoreDoubleSymmetricMatrix
    CenterSpace.NMath.CoreConnectivityMatrix
      CenterSpace.NMath.CoreNMFConsensusMatrixAlg
      CenterSpace.NMath.CoreOrderedConnectivityMatrix

[SerializableAttribute]
public class ConnectivityMatrix : DoubleSymmetricMatrix

<SerializableAttribute>
Public Class ConnectivityMatrix
	Inherits DoubleSymmetricMatrix

[SerializableAttribute]
public ref class ConnectivityMatrix : public DoubleSymmetricMatrix

[<SerializableAttribute>]
type ConnectivityMatrix = 
    class
        inherit DoubleSymmetricMatrix
    end

The i, j entry represents the strength of connectivity between the variables i and j.
A symmetric matrix is equal to its transpose. In other words, A[i,j] = A[j,i] for all elements i,j in matrix A.
The matrix is stored in a vector column by column. For efficiency, only the upper triangle is stored. For example, the following 5 by 5 symmetric matrix:

                | a00 a01 a02 a03 a04 |
                | a10 a11 a12 a13 a14 |
            A = | a20 a21 a22 a23 a24 |
                | a30 a31 a32 a33 a34 |
                | a40 a41 a42 a43 a44 |
            

is stored in a data vector v as:

            v = [a00 a01 a11 a02 a12 a22 a03 a13 a23 a33 a04 a14 a24 a34 a44 ] 
            

In general, A[i,j] = v[j(j+1)/2+i], i<=j v[i(i+1)/2+j], j<i