Implementación de algoritmos de aprendizaje no supervisado para realizar clustering a los datos del sensor LIDAR del KITTI-dataset

An optimized C/C++ implementation of the HDBSCAN algorithm for the course Advanced Systems Lab.

Repository for fine-tuning and clustering sentence embeddings for Food Items

Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm

Finding the top news stories of 2022 among 54,000+ news on AI, ML, NLP, data science and related fields.

The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.

Density-Based Clustering Validation

Create a knowledge graph based on Towards Data Science blogs.

Python library designed to classify photos containing specific individuals from a collection of images.

Desenvolvimento dos principais modelos de aprendizado de máquina supervisionado e não-supervisionado.

The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.

By utilizing various features, the Project assists the organization in categorizing countries and determining which country the NGO should allocate funds to.

Density based clustering

Amazon SageMaker Local Mode Examples

Sliced Detection and Clustering Analysis Toolkit