Giter Site home page Giter Site logo

Hi there 👋

I am José María Luna Romera, PhD. in computer engineering from the University of Seville. I am currently a professor in the Department of Computer Systems Languages at the University of Seville. I teach in the different computer degrees in the subjects of fundamentals of programming and in Operating Systems. I work with machine learning technologies within the Minerva Research Group, developing new techniques, as well as their application to real problems in different research projects. I have numerous research articles in different impact journals, as well as the publication of my work in national and international conferences.

If you want to collaborate with me or have any questions, do not hesitate to contact me 🖊️.

LinkedIn Google Scholar ORCID Scopus Research Gate

José María Luna's Projects

chi-index icon chi-index

Clustering Validity Index based on Chi Square as Python package

clusterindices icon clusterindices

This package contains the code for executing clustering validity indices in Spark. The package includes BD-Silhouette, BD-Dunn, Davies-Bouldin and WSSSE indices.

clustering-datasets icon clustering-datasets

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

externalvalidity icon externalvalidity

This package contains the code for calculating external clustering validity indices in Spark. The package includes Chi Index among others.

randomclustersgenerator icon randomclustersgenerator

📊 Python tool for creating datasets with clusters using a normal distribution. Customize clusters, significant columns, and add variability with dummy columns. Ideal for testing clustering algorithms.

smalldataindex icon smalldataindex

This package contains the code for executing clustering validity indices in Java by using K-means from Weka. The package includes the following clustering validity indices: Silhouette, Dunn, BD-Silhouette, BD-Dunn, Davies-Bouldin, Calinski-Harabasz, MaximumDiameter, SquaredDistance, AverageDistance, AverageBetweenClusterDistance, MinimumDistance.

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.