(data, distance=PearsonR,
                       linkage=AVERAGE)
return dist_matrix_clustering(matrix, linkage=linkage)
Return the hierarchical clustering of the dataset's columns.

    :param Orange.data.Table data: Dataset to cluster.
    :param Orange.distance.Distance distance: A distance measure.
    :param str linkage:
Return the hierarchical clustering of the dataset's columns.
Return the hierarchical clustering of the dataset s columns .
def feature_clustering(data, distance=PearsonR,
                       linkage=AVERAGE):
    """
    Return the hierarchical clustering of the dataset's columns.

    :param Orange.data.Table data: Dataset to cluster.
    :param Orange.distance.Distance distance: A distance measure.
    :param str linkage:
    """
    matrix = distance(data, axis=0)
    return dist_matrix_clustering(matrix, linkage=linkage)
def feature_clustering ( data , distance = PearsonR , linkage = AVERAGE ) : matrix = distance ( data , axis = 0 ) return dist_matrix_clustering ( matrix , linkage = linkage )