Plots the dendrogram of the most recently generated partition
        :param nclusters: Override the plot default number of clusters

        :return: matplotlib.pyplot.figure

def plot_dendrogram(self, nclusters=None, leaf_font_size=8, leaf_rotation=90, names=None,
                        title_font_size=16, ):
        """
        Plots the dendrogram of the most recently generated partition
        :param nclusters: Override the plot default number of clusters

        :return: matplotlib.pyplot.figure
        """

        if not hasattr(self, 'nclusters') and not hasattr(self, 'linkmat'):
            raise ValueError("This instance has no plottable information.")

        if nclusters is None:
            nclusters = self.nclusters

        threshold = _get_threshold(self.linkmat, nclusters)

        import matplotlib.pyplot as plt
        fig = plt.figure(figsize=(11.7, 8.3))

        if names is not None:
            labfn=lambda leaf: names[leaf]
        else:
            labfn=None
            leaf_rotation=0

        dendrogram(
            self.linkmat,
            color_threshold=threshold,
            leaf_font_size=leaf_font_size,
            leaf_rotation=leaf_rotation,
            leaf_label_func=labfn,
            count_sort=True,
            )

        plt.suptitle('Dendrogram', fontsize=title_font_size)
        # plt.title('Distance metric: {0}    Linkage method: {1}    Number of classes: {2}'.format(compound_key[0],
        #           compound_key[1], compound_key[2]), fontsize=12)
        plt.axhline(threshold, color='grey', ls='dashed')
        plt.xlabel('Gene')
        plt.ylabel('Distance')
        return fig