Additional C++11 Random Distributions
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Updated
May 22, 2024 - C++
Additional C++11 Random Distributions
Zig implementation of a fast, bounded, Zipf-distributed random number generator.
A JavaScript module for generating random seeded distributions and its statistical analysis.
It is a very different task, as here I am going to cluster 200 different texts related to games and sports in 2 or more different clusters. we can also use zipf plot to determine how many useful clusters can be formed.
Get an integer between min and max with skew towards either.
Paper about the generation of random numbers distributed according to the Zipf-Mandelbrot law
Zipf's law has been proven on the Turkish and English versions of Harry Potter and the Philosopher's Stone.
Análisis de 'El Señor de los Anillos' mediante la Ley de Zipf: un estudio detallado de la distribución de frecuencias de palabras en la trilogía de Tolkien para explorar la aplicabilidad de esta fascinante ley estadística en la literatura épica.
Analysis using Natural Language Toolkit(NLTK), Numpy, Pandas and Matplotlib
Analyzes texts for compliance with the second Zipf's and Heaps law.
Dart implementation of a Zipf-distributed random number generator.
A Tsallis q-log generalization of BM25's RSJ-odds IDF, with a closed-form predictor for the optimal q from corpus statistics. Companion code and arXiv-ready manuscript.
Hybrid CDN simulation (edge caching, MEC offloading, tabular Q-learning). Zipf + Poisson traffic, M/M/1 MEC queue, reproducible CSVs and plots. MIT licensed.
This repository contains the code and datasets used in my PhD thesis on pitch-class set analysis using the Discrete Fourier Transform (DFT) and the Fourier Qualia Space (FQS).
Supplementary material for: Statistically Modelling Qualia Syntax Through Fourier Space
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