def ACT(MatrixAdjacency_Train):
similarity_StartTime = time.clock()
Matrix_D = np.diag(sum(MatrixAdjacency_Train))
Matrix_Laplacian = Matrix_D - MatrixAdjacency_Train
INV_Matrix_Laplacian = np.linalg.pinv(Matrix_Laplacian)
Array_Diag = np.diag(INV_Matrix_Laplacian)
Matrix_ONE = np.ones([MatrixAdjacency_Train.shape[0],MatrixAdjacency_Train.shape[0]])
Matrix_Diag = Array_Diag * Matrix_ONE
Matrix_similarity = Matrix_Diag + Matrix_Diag.T - (2 * Matrix_Laplacian)
print Matrix_similarity
Matrix_similarity = Matrix_ONE / Matrix_similarity
Matrix_similarity = np.nan_to_num(Matrix_similarity)
similarity_EndTime = time.clock()
print " SimilarityTime: %f s" % (similarity_EndTime- similarity_StartTime)
return Matrix_similarity
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