Constructs a dendrogram from the hierarchical clustering of data.
Dendrogram[{e1, e2, …}]
Dendrogram[{e1 -> v1, e2 -> v2, …}]
Dendrogram[{e1, e2, …} -> {v1, v2, …}]
Dendrogram[<| label1 -> e1, label2 -> e2, … |>]
Dendrogram[data, orientation]
Dendrogram[tree]
Head[Dendrogram[{1, 2, 5, 6, 12}]]
→ GraphicsHead[Dendrogram[{{1, 1}, {1, 2}, {10, 10}, {10, 11}}]]
→ GraphicsHead[Dendrogram[{"apple", "aple", "banana", "bananna"}]]
→ GraphicsHead[Dendrogram[{1 -> "one", 2 -> "two", 10 -> "ten"}]]
→ GraphicsHead[Dendrogram[<|"x" -> 1, "y" -> 2, "z" -> 10|>]]
→ GraphicsHead[Dendrogram[{1, 2, 5, 6, 12}, Left]]
→ GraphicsHead[Dendrogram[{1, 2, 5, 6, 12}, ClusterDissimilarityFunction -> "Single", DistanceFunction -> ManhattanDistance]]
→ Graphics- DistanceFunction — how to measure the distance between two data
- ClusterDissimilarityFunction — the linkage used to measure the
- ImageSize — overall size in pixels.