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.
gaetanosettembre
Config files for my GitHub profile.
gaetanosettembre.github.io
The source code for the personal page of this user
Movie-Recommender-System-on-Apache-Spark
This notebook summarizes results from a non-personalized and collaborative filtering recommender system implemented with Apache Spark MLlib
covidashit
COVID-19 Italy Pandemic and Vaccines Dashboard
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.
Headphone-Assistant
CLIPS Project for my ICSE exam.
Turing-Machine-JFLAP
In this repository, you will find some Turing Machines created using JFlap