Progetto realizzato per la materia "Tecniche per la gestione degli Open Data" dell'Università degli studi di Palermo

Filtering the stockmarket into clusters with financial ratios built on quarterly snapshots over 5 years of data. The goal was to see the evolution paths of companies over time and find clusters that develop future winners. Methods used, PCA, UMAP, HDBSCAN, KMeans.

Boolean parameterization maps using UMAP

Implementation of the fMoW dataset into the UMAP method and the EfficientNet neural network.

UMAP testing

Analysis of "Hello World" Dataset of Computer Vision

ACM UMAP 2020 - Human Strategic Steering Improves Performance of Interactive Optimization

Visualisation exploring handwriting styles using convolutional autoencoders and clustering

Customer Segmentation with K-Means & UMAP

Data Visualization

This repository contains code used to create Paper "Navigating Complexity: Evaluating the Effectiveness of Dimension Reduction and Clustering Approaches on Challenging Datasets" as a Bachelor's thesis for EUR.

How to build a JSON of coordinates (for Leaflet markers) based on an UMAP embedding (Python)

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…

Repository dedicated to my project on PhenoGraph.

Examining data similarities across stock/commodity/money markets. Reducing dimensionality via UMAP, applying stochastic processes to the results.

Topic modelling of invoice data

Easily identifying themes in text

UMAP projection of Gower distances in Pokemon dataset