Gaetano Settembre (gaetanosettembre)

gaetanosettembre

Geek Repo

Company:University of Bari "Aldo Moro"

Location:Bari, IT

Home Page:gaetanosettembre.github.io

Twitter:@tanosettembre

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Gaetano Settembre's repositories

BrainTumor_clf_TDA

This repository is the official code for the paper "Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition" by Serena Grazia De Benedictis, Grazia Gargano and Gaetano Settembre.

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gaetanosettembre

Config files for my GitHub profile.

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gaetanosettembre.github.io

The source code for the personal page of this user

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Movie-Recommender-System-on-Apache-Spark

This notebook summarizes results from a non-personalized and collaborative filtering recommender system implemented with Apache Spark MLlib

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covidashit

COVID-19 Italy Pandemic and Vaccines Dashboard

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K-Means-clustering

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells. It is popular for cluster analysis in data mining. k-means clustering minimizes within-cluster variances (squared Euclidean distances), but not regular Euclidean distances, which would be the more difficult Weber problem: the mean optimizes squared errors, whereas only the geometric median minimizes Euclidean distances. For instance, Better Euclidean solutions can be found using k-medians and k-medoids.

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Headphone-Assistant

CLIPS Project for my ICSE exam.

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Turing-Machine-JFLAP

In this repository, you will find some Turing Machines created using JFlap

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