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hierarchical-agglomerative-clustering

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vadimtyuryaev / Functional-Data-Analysis

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Advanced FDA algorithms, 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

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

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