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.
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Source Distribution
pyminimax-0.1.2.tar.gz
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