Giter Site home page Giter Site logo

bayesian_clustering's Introduction

A Predictive View of Bayesian Clustering

Authors : Bastien Billot and Rémy Deshayes

This is a very short project building on the 2006 paper A Predictive View of Bayesian Clustering by Fernando A. Quintana.

In his paper, Quintana reviews various probabilistic methods for set partitioning, and their interactions. In other words, Quintana is interested in models given as conditional probabilities of either joining an already existing cluster or forming a new one.

Firstly, we recall the paper theoretical framework. Then, we review Quintana's implementations and results - notably, the various Model-Based Clustering (MBC) initializations.
Secondly, we move away from the paper per se and introduce two MBC implementations before comparing them with traditional clustering methods.

bayesian_clustering's People

Contributors

remydeshayes avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.