unsupervised-clustering

MouseLand/rastermap

a visualization method for neural data

janghyuncho/PiCIE

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

mcychan/nQuantCpp

nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.

CarsonScott/HSOM

Hierarchical self-organizing maps for unsupervised pattern recognition

erdogant/clusteval

Clusteval provides methods for unsupervised cluster validation

TheDatumOrg/kshape-matlab

Matlab implementation for k-Shape

GoGoDuck912/pytorch-vector-quantization

A Pytorch Implementations for Various Vector Quantization Methods

HongJea-Park/robust_EM_for_gmm

MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961

orrorcol/soinn

SOINN / 聚类 / 无监督聚类 / 快速 / clustering / unsupervised clustering / fast

mohammadhashemii/Web-Crawler-Detection

Web Crawler Detection using Unsupervised Algorithms

mlbio-epfl/hume

[NeurIPS 2023 Spotlight] The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning

tony-coder/2020-FC-Unsupervised-Classification-System-for-FintechEnterprises

e企查 | 金融科技服务平台企业数据的无监督分类系统-2020年第十一届**大学生服务外包创新创业大赛A10赛题

creinders/ClusteringAlgorithmsFromScratch

Clustering algorithms (Mean shift and K-Means) from scratch in NumPy, PyTorch, TensorFlow, and JAX

mthiboust/somap

A flexible, fast and scalable python library for Self-Organizing Maps

zyuan-astro/StarGO-OC

Apply a clustering tool based on self-organizing-map to identify open clusters

Mike-Schmidt-Avemac/ai-email-insights

Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.

Stuart-D-King/homer_segmentation

Customer segmentation using k-modes unsupervised clustering

AjinkyaGhadge/PCA-from-scratch-in-Python

An implementation of Principal Component Analysis for MNIST dataset, and visualization

gsarti/cancer-detection

Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste

NikhilGupta1997/Data-Mining-Algorithms

A generic library created to perform unsupervised clustering and frequent subgraph mining

uttej2001/Anomaly-Logs-Detection

There are many studies done to detect anomalies based on logs. Current approaches are mainly divided into three categories: supervised learning methods, unsupervised learning methods, and deep learning methods. Many supervised learning methods are used for log-based anomaly detection.

AAndonio/Unsupervised-Feature-Selection-NDFS

Unsupervised Feature Selection NDFS is a project that shows how to select features with NDFS algorithm

anshul1004/TweetsClustering

Clustering similar tweets using K-means clustering algorithm and Jaccard distance metric

erayyildiz/PersonalizedPageRankForCategorization

Unsupervised categorization of customer reviews into aspect categories using Personalized Page Rank

havelhakimi/seeds

Prototype based clustering on seeds dataset

janelleszary/intuiShop

Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.

charmichokshi/Unsupervised-Image-Segmentation-Algorithms

DaniJonesOcean/GMM_example

Demo: how to apply Gaussian mixture modelling to Argo float data

zcebeci/fcvalid

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

mcychan/nQuantGpp

nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.

ricardozacarias/nyc-crime-ML

Forecasting and spatio-temporal clustering of criminal activity in NYC.

RoryQo/Country-Needs-Assessment-for-Humanitarian-Aid-Challenge

Categorize the countries using ML algorithms (PCA dimension reduction and PAM clustering) with socio-economic and health factors that determine the overall development of the country. Then we can suggest the countries which HELP (international humanitarian Non-Governmental Organization) needs to focus on the most.

SaumyaBhandari/ThePathfinder

A Computer Vision Based Navigation System which uses Differentiable Feature Clustering to Segment the road. And uses different ROI based methods to figure out road, and detect obstacles in it and provides any kind of self driving system to either go ahead or stop.

ndgigliotti/cluster-optimizer

A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).

paresh-bhagat/Biomedical-Image-Processing

Segmentation of Brain tumor from noisy images using various Filters and Segmentation algorithms using Matlab.