dendrogram

I want to modify the properties of the leaves in a dendrogram produced from plot of an hclust object. Minimally, I want to change the colors, but any help you can provide will be appreciated. I did try to google the answer, but but every solution that I saw seemed alot harder than what I would have guessed. A while ago, Joris Meys kindly provided me with this snippet of code that changes the color of leaves. Modify it to reflect your attributes. clusDendro <- as.dendrogram(Clustering) labelColors <- c("red", "blue", "darkgreen", "darkgrey", "purple") ## function to get colorlabels colLab <-

I have produced a dendrogram after running hierarchical clustering analysis in R using the below code. I am now trying to colour the labels according to another factor variable, which is saved as a vector. The closest that I have come to achieving this is to colour code the branches using the ColourDendrogram function in the sparcl package. If possible, I would prefer to colour-code the labels. I have found answers to a similar questions at the following links Color branches of dendrogram using an existing column & Colouring branches in a dendrogram in R , but I have not been able to work out

I've found several examples on how to create these exact hierarchies (at least I believe they are) like the following here stackoverflow.com/questions/2982929/ which work great, and almost perform what I'm looking for. [EDIT]Here's a simplified version of Paul 's code, which now should be easier for someone to help get this into a radial cluster instead of this current cluster shape import scipy import pylab import scipy.cluster.hierarchy as sch def fix_verts(ax, orient=1): for coll in ax.collections: for pth in coll.get_paths(): vert = pth.vertices vert[1:3,orient] = scipy.average(vert[1:3

I'm using dendrogram from scipy to plot hierarchical clustering using matplotlib as follows: mat = array([[1, 0.5, 0.9], [0.5, 1, -0.5], [0.9, -0.5, 1]]) plt.subplot(1,2,1) plt.title("mat") dist_mat = mat linkage_matrix = linkage(dist_mat, "single") print "linkage2:" print linkage(1-dist_mat, "single") dendrogram(linkage_matrix, color_threshold=1, labels=["a", "b", "c"], show_leaf_counts=True) plt.subplot(1,2,2) plt.title("1 - mat") dist_mat = 1 - mat linkage_matrix = linkage(dist_mat, "single") dendrogram(linkage_matrix, color_threshold=1, labels=["a", "b", "c"], show_leaf_counts=True) My