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hierarchical-agglomerative-clustering

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jonnevd / constrained-linkage

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Python implementation of a (plug-and-play) constrained linkage function for constrained hierarchical clustering with maximum cluster size, minimum cluster size, must-link, cannot-link and custom constraints, returns SciPy-compatible linkage matrix for subsequent Hierarchical Agglomerative Clustering. Based on HEAT published in Energy and AI (2025)

python machine-learning time-series clustering semi-supervised-learning unsupervised-learning linkage constrained-clustering hierarchical-clustering time-series-clustering hierarchical-agglomerative-clustering must-link cannot-link size-constraint
  • Updated Aug 20, 2025
  • Python

vadimtyuryaev / Functional-Data-Analysis

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Explore how to transform discrete observations into continuous functions for advanced analysis, covering everything from foundational Hilbert space theory to practical applications like clustering stock market data and estimating parameters for dynamic systems.

quantitative-finance functional-data-analysis fourier-series ode-solver b-splines runge-kutta-methods lagrange-polynomial-interpolation levenberg-marquardt-algorithm fitzhugh-nagumo hierarchical-agglomerative-clustering generalized-profiling
  • Updated Sep 10, 2025
  • R

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