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.
Scripts for reduction of data acquired during the NEON Observing Summer School 2017
Data Representation and Reduction analysis project
This package contains functions that provide a greedy functional quantization and also the optimal grid.
A Gemini Data Reduction Pipeline Framework
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
HKUST CSIC 5011 / MATH 5473 Final Project
pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.
A project for the lesson of Knowledge Discovery from Databases. Normalizing values, ENN and IB2 algorithms are implemented. Tested with iris.csv dataset.
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).
Maximum independent sets and vertex covers of large sparse graphs.
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