Popular GitHub Repositories for Hdbscan

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

NeuralMap is a data analysis tool based on Self-Organizing Maps

We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorithms with allow us to generate fixed length tokens for whole sentences to make them comparable to each other. Further the Tokens are Clustered using K-Means or HDBScan to get diverse clusters to pick the samples out of them.

This project clusters products by their titles and assigns topics. Initially using BERT, PCA, and t-SNE, the results were noisy. The improved approach with SBERT, UMAP, and HDBSCAN provides clearer clusters. Topics are assigned using Llama-3-8b.

? End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.

Using BERTopic to show the path of technological advancements in the different phases of the economic cycle (January 2005- January 2023).