Skip to main content

Visualize cluster distances in DendrogramPlot


I want to perform a cluster analysis using the HierarchicalClustering package. Is there a way to display the inter-cluster distances in a dendrogram plot?



An example how the result should look like: here.



Answer



DendrogramPlot accepts Axes as an option. Despite syntax highlighting in red of Axes and AxesOrigin, GridLines etc. these options seem to work with DendrogramPlot.


Inter-cluster distance in a Cluster object is given as the third element.


enter image description here


Several combinations of DistanceFunction and Linkage where inter-cluster distances are highlighted in red and shown as green gridlines in the dendogram plot:


Needs["HierarchicalClustering`"]

Grid[{{ToString@#[[1]] <> "--" <> #[[2]]},
{Replace[ Agglomerate[{1, 2, 10, 4, 8},

DistanceFunction -> #[[1]], Linkage -> #[[2]]],
Cluster[a_, b_, c_, d__] ->
Cluster[a, b, Style[c, 18, Red, Bold], d], {0,
Infinity}]}, {DendrogramPlot[{1, 2, 10, 4, 8},
DistanceFunction -> #[[1]], Linkage -> #[[2]],
LeafLabels -> (# &),
GridLines -> {None, Cases[Agglomerate[{1, 2, 10, 4, 8},
DistanceFunction -> #[[1]], Linkage -> #[[2]]],
Cluster[a_, b_, c_, d__] :> c, {0, Infinity}]},
GridLinesStyle -> Green, ImageSize -> 500,

Axes -> {False, True}, AxesOrigin -> {.75, Automatic}]}}] & /@
Tuples[{{Automatic, ManhattanDistance}, {"Complete", "Centroid"}}] // Column

enter image description here


So ... vertical axis does indeed measure the inter-cluster distances for a given DistanceFunction and Linkage.


For various combinations of DistanceFunction and Linkage you get the following pictures:


{#, Agglomerate[{1, 2, 10, 4, 8}, DistanceFunction -> Automatic, Linkage -> #], 
DendrogramPlot[{1, 2, 10, 4, 8},
DistanceFunction -> Automatic, Linkage -> #,
Axes -> {False, True}, AxesOrigin -> {-1, Automatic}],

Agglomerate[{1, 2, 10, 4, 8}, DistanceFunction -> ManhattanDistance, Linkage -> #],
DendrogramPlot[{1, 2, 10, 4, 8},
DistanceFunction -> ManhattanDistance, Linkage -> #,
Axes -> {False, True}, AxesOrigin -> {-1, Automatic}]} & /@
{"Single", "Average","Complete", "WeightedAverage", "Centroid", "Median","Ward"} //
Grid[Prepend[#, {"", "EuclideanDistance-Clusters",
"EuclideanDistance-Dendogram", "ManhattanDistance-Clusters",
"ManhattanDistance-Dendogram"}],
Dividers -> All, Alignment -> Bottom] &


enter image description here


EDIT: What I get for Frederik's example in the comments:


DendrogramPlot[Prime[#] & /@ Range[30], Axes -> {False, True}, 
AxesOrigin -> {-1, Automatic}]

enter image description here


Comments

Popular posts from this blog

front end - keyboard shortcut to invoke Insert new matrix

I frequently need to type in some matrices, and the menu command Insert > Table/Matrix > New... allows matrices with lines drawn between columns and rows, which is very helpful. I would like to make a keyboard shortcut for it, but cannot find the relevant frontend token command (4209405) for it. Since the FullForm[] and InputForm[] of matrices with lines drawn between rows and columns is the same as those without lines, it's hard to do this via 3rd party system-wide text expanders (e.g. autohotkey or atext on mac). How does one assign a keyboard shortcut for the menu item Insert > Table/Matrix > New... , preferably using only mathematica? Thanks! Answer In the MenuSetup.tr (for linux located in the $InstallationDirectory/SystemFiles/FrontEnd/TextResources/X/ directory), I changed the line MenuItem["&New...", "CreateGridBoxDialog"] to read MenuItem["&New...", "CreateGridBoxDialog", MenuKey["m", Modifiers-...

How to thread a list

I have data in format data = {{a1, a2}, {b1, b2}, {c1, c2}, {d1, d2}} Tableform: I want to thread it to : tdata = {{{a1, b1}, {a2, b2}}, {{a1, c1}, {a2, c2}}, {{a1, d1}, {a2, d2}}} Tableform: And I would like to do better then pseudofunction[n_] := Transpose[{data2[[1]], data2[[n]]}]; SetAttributes[pseudofunction, Listable]; Range[2, 4] // pseudofunction Here is my benchmark data, where data3 is normal sample of real data. data3 = Drop[ExcelWorkBook[[Column1 ;; Column4]], None, 1]; data2 = {a #, b #, c #, d #} & /@ Range[1, 10^5]; data = RandomReal[{0, 1}, {10^6, 4}]; Here is my benchmark code kptnw[list_] := Transpose[{Table[First@#, {Length@# - 1}], Rest@#}, {3, 1, 2}] &@list kptnw2[list_] := Transpose[{ConstantArray[First@#, Length@# - 1], Rest@#}, {3, 1, 2}] &@list OleksandrR[list_] := Flatten[Outer[List, List@First[list], Rest[list], 1], {{2}, {1, 4}}] paradox2[list_] := Partition[Riffle[list[[1]], #], 2] & /@ Drop[list, 1] RM[list_] := FoldList[Transpose[{First@li...

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...