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DeBaCl is a Python library for estimation of density level set trees and nonparametric density-based clustering. Level set trees are based on the statistically-principled definition of clusters as modes of a probability density function. They are particularly useful for analyzing structure in complex datasets that exhibit multi-scale clustering behavior DeBaCl is intended to promote the practical use of level set trees through improvements in computational efficiency, flexible algorithms, and an emphasis on modularity and user customizability
8 lines
549 B
Text
8 lines
549 B
Text
DeBaCl is a Python library for estimation of density level set trees and
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nonparametric density-based clustering. Level set trees are based on the
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statistically-principled definition of clusters as modes of a probability
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density function. They are particularly useful for analyzing structure in
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complex datasets that exhibit multi-scale clustering behavior
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DeBaCl is intended to promote the practical use of level set trees through
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improvements in computational efficiency, flexible algorithms, and an emphasis
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on modularity and user customizability
|