Skip to content
View josemarialuna's full-sized avatar
😁
😁
37 followers · 34 following

Achievements

Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Shark
BetaSend feedback

Achievements

Achievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Shark
BetaSend feedback

Highlights

  • Pro
Block or Report

Block or report josemarialuna

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
josemarialuna/README.md

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

Pinned

  1. Chi-Index Chi-Index Public

    Clustering Validity Index based on Chi Square as Python package

    Python 11

  2. ExternalValidity ExternalValidity Public

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

    Scala 9 1

  3. ClusterIndices ClusterIndices Public

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

    Scala 10 3

  4. RandomClustersGenerator RandomClustersGenerator Public

    📊 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.

    Python 6