Python implementation of minimax-linkage hierarchical clustering
Project description
PyMinimax
PyMinimax is a Python implementation of minimax-linkage hierarchical clustering.
Installation
pip install pyminimax
Usage
from pyminimax import minimax
from scipy.spatial.distance import pdist
from scipy.cluster.hierarchy import complete
data = [[0, 0], [0, 1], [1, 0], [0, 4], [0, 3], [1, 4], [4, 0], [3, 0], [4, 1], [4, 4], [3, 4], [4, 3]]
dist = pdist(data) # flattened distance matrix computed by scipy
Z_complete = complete(dist) # complete linkage result
Z_minimax = minimax(dist) # minimax linkage result
The most important function in PyMinimax is pyminimax.minimax
. Its usage is very much similar to the hierarchical clustering methods in SciPy, say scipy.cluster.hierarchy.complete. See the documentation for more details.
Project details
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pyminimax-0.1.2.tar.gz
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