Pinned Repositories
K-Means
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.
test
TimeFlix-Icon2024
TimeFlix - Repository per il progetto di ICON24.
labcheck
Lab check material
DevFestBari_2024-Realizzare_un_gioco_con_godot
Progetto videoludico dimostrativo realizzato con Godot per il DevFest di Bari 2024.
final-presentation
EC2002's Repositories
EC2002/K-Means
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.
EC2002/test