hdbscan

yihong1120/Construction-Hazard-Detection

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

arborx/ArborX

Performance-portable geometric search library

nabeel-oz/qlik-py-tools

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

gagolews/genieclust

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

rohanmohapatra/hdbscan-cpp

Fast and Efficient Implementation of HDBSCAN in C++ using STL

wangyiqiu/hdbscan

A Fast Parallel Algorithm for HDBSCAN* Clustering

dlab-berkeley/Unsupervised-Learning-in-R

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

drob-xx/TopicTuner

HDBSCAN Tuning for BERTopic Models

doxakis/HdbscanSharp

HDBSCAN in C#

guglielmosanchini/ClustViz

Visualization of many Clustering Algorithms, via Notebook or GUI

daniel-furman/awesome-chatgpt-prompts-clustering

Text clustering: HDBSCAN is probably all you need.

antoniocavalcante/mustache

EtzionR/Clustering-by-Silhouette

Optimize clustering labels using Silhouette Score.

dmeoli/OnlineRetail

Data Mining project 2020/2021 @ University of Pisa

inhorha5/Korean-NLP-Project

NLP on Korean news articles. Automatic topic extraction through dynamic clustering.

FrancoBobadilla/NeuralMap

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

shayneobrien/text-cluster

Offline and online (i.e., real-time) annotated clustering methods for text data.

gulabpatel/Machine-Learning

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

pajaskowiak/dbcv

Density-Based Clustering Validation

kstrassheim/active-learning-with-deep-learning-for-nlp

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.

memeghaj10/Clustering-Geolocation-Data-Intelligently-in-Python

This is a python Coursera guided project successfully completed by me.

tharunchitipolu/Clustering-geolocation-data-with-python

We have taxi rank locations, and want to define key clusters of these taxis where we can build service stations for all taxis operating in that region.

UpwardTrajectory/meander-maker

Find dense clusters for Theme-Walks or Topic Exploration with HDBSCAN and GoogleMaps API

XifeiNi/TrackML

High Energy Physics particle tracking in CERN detectors

afunTW/geo-separation

Using HDBSCAN and Voronori algorithm to create your own spatial polygon.

jeongwhanchoi/TrackML-Particle-Tracking

High Energy Physics Particle Tracking in CERN Detectors

JoaoCampagnolo/Behav_clustering_thesis

Repository for my master thesis project on Unsupervised behavioral classification with 3D pose data from tethered Drosophila Melanogaster.

kochlisGit/Tensorflow-MNIST-State-Of-The-Art

Building High Performance Convolutional Neural Networks with TensorFlow

MariuszAndziak/Personality_and_Its_Transformations

Summary and knowledge destilation of prof. Jordan Peterson's YouTube lectures on Personality and Its Transformations using different methods of information retrieval.

ttavni/SemanticWordClouds

Making word clouds more interesting

edo-pasto/Parallel-Flexible-Clustering

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.

EtzionR/generate-Convex-Hull-SHP-from-HDBSCAN-clustering-probabilities

Defines a boundary around cluster centers in a given point-layer shapefile.

rs-anderson/Clustering-Ward-Level-Poverty-Using-Satellite-Imagery

Combing satellite imagery and machine learning methods to cluster ward-level povery in Gauteng, South Africa.

dcarpintero/taxonomy-completion

Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics

sian0x0/Roud-Song-Clusters

Lyrics clustering