Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

How does random number generation work on Linux systems ?

Repository of Minecraft CTM maps made by me.

This application calculates the entropy of a string. The focus of this implementation is represented by a specialized function called "entropy" which receives a text sequence as a parameter and returns a value that represents the entropy. Entropy is a measure of the uncertainty in a random variable.

Entropy vs self sequence alignment is a Javascript implementation of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.

by using a dataset , we are calculating and playing with distance and some features ,i used python ,jupyter note bookes and numpy and pandas.

This is an application designed in HTML5/Javascript of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.

Entropy is a measure of the uncertainty in a random variable. This application calculates the entropy of text. The current example calculates the entropy of sequence "TTTAAGCC". In the context of information theory the term "Entropy" refers to the Shannon entropy.

EntroCalc - Calculateur d'entropie de mot de passe

Documentation website of Entropy framework for Deno.

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

huīsè de - a practical system for living in the age of entropy

Computation Phi_S Diagram

Advanced statistical analysis accelerated with PyTorch.

Project in which we explore different algorithms and compression approaches such as Huffman coding or entropy change. The distribution of the symbols of the compressed files (image, electronic book, etc.) is also analyzed.

This matlab code is used to find the entropy of plain and cipher images

Encrypted Search: A Probabilistic Estimator of Confiidentiality

A classification task where LDA and DBSCAN are combined to perform crucial Intraclass outlier detection; then ad hoc feature selection process is executed to reduce the highly dimensional (continuous and discrete) feature space.