Maximum independent sets and vertex covers of large sparse graphs.
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Nov 8, 2024 - C
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datareduction
Here are 12 public repositories matching this topic...
pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).
analysis regularization inverse-problems nonnegativity-constraints exponential-distributions datareduction lifetime-spectroscopy pals positron-lifetime-spectra tikhonov-regularization flm exponential-decay ill-posed contin tikhonov multi-exponential-decay positron-annihilation-lifetime fredholm-integral-equation laplace-inversion linear-algebraic-equations
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Sep 27, 2023 - Fortran
A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization
least-squares regularization optimization-methods inverse-problems deconvolution maximum-entropy exponential-distributions datareduction lifetime-spectroscopy pals decay-spectrum positron-lifetime-spectra ill-conditioned ill-posed fluorescence-lifetime
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Apr 1, 2021 - MATLAB
A Gemini Data Reduction Pipeline Framework
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Jan 26, 2021 - Python
pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.
analysis regression levenberg-marquardt inverse-problems least-square-regression exponential-distributions analysis-algorithms datareduction lifetime-spectroscopy decay-spectrum positron-lifetime-spectra exponential-decay ill-posed multi-exponential-decay tail-fitting fluorescence-lifetime-spectroscopy ill-cond
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Sep 22, 2021 - Python
Data Representation and Reduction analysis project
python data-science tweets cluster data-reduction data-analysis data-representation csvhelper datareduction consensus-matrix kmeans-nodes dbscan-nodes kmeans-edge
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Jun 20, 2019 - Python
A project for the lesson of Knowledge Discovery from Databases. Normalizing values, ENN and IB2 algorithms are implemented. Tested with iris.csv dataset.
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Aug 19, 2023 - Python
Scripts for reduction of data acquired during the NEON Observing Summer School 2017
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Apr 16, 2019 - Python
This package contains functions that provide a greedy functional quantization and also the optimal grid.
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Dec 31, 2020 - R
This project is a part of course Data Representation, Reduction & Analysis. Given 20,000 tweets from London region and we had to cluster then using K-means and DBSCAN after preprocessing of data. Written in python and implemented in jupyter notebook.
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Jan 22, 2018 - Jupyter Notebook
HKUST CSIC 5011 / MATH 5473 Final Project
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May 31, 2021 - Jupyter Notebook
algorithm regression dataset kmeans association-rules discretization dbscan datamining apriori-algorithm fpgrowth datareduction
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Nov 15, 2019 - Jupyter Notebook
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