GitHub topics: unsupervised-clustering

Repositories

malopezsu/Workshop_5_Unsupervised_classification

En este taller se implementó una clasificación no supervisada usando K-means sobre una imagen satelital Sentinel-2. Se exploraron diferentes valores de k, evaluando los resultados con inertia y silhouette score. Finalmente, se integraron los clústeres como covariable en un modelo de clasificación supervisada, y se generaron visualizaciones temática

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wq2012/SpectralCluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Language: Python - Size: 1.81 MB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 533 - Forks: 71

MouseLand/rastermap

a visualization method for neural data

Language: Python - Size: 70.5 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 226 - Forks: 50

RoySoumik23/CRC_clustering

R scripts and data for clustering-based molecular subtyping and mutational signature analysis in colorectal cancer (CRC), including visualization and survival analysis tools.

Language: R - Size: 1.05 MB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

philiptitus/Mall-Customers

K-means Model to categorize Mall customers into different clusters based on their spending habits

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dewminigunasekera/Biophysics-Informed-Quantitative-Diabetes-Screener

Interpretable diabetes risk screener using biophysics-informed signal modeling and hybrid probabilistic gating. Pima Indians Diabetes Dataset. Recall: 0.906 | Accuracy: 0.689 | F1: 0.671

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ryandewolfe33/FuzzyClusteringSimilarity.jl

Code for Dirichlet Random Models for Fuzzy Rand Adjustment

Language: Julia - Size: 2.4 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

erdogant/clusteval

Clusteval provides methods for unsupervised cluster validation

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mcychan/nQuantGpp

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

Language: C++ - Size: 665 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

Davz33/pdf-ai-mapper

Tool for processing, categorizing, and searching through PDF documents and images using unsupervised K-means clustering and OCR.

Language: Python - Size: 306 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

muhammadfahd/customer_segmentation_using_kmeans

mini machine learning project (unsupervised learning type) that uses K-Means clustering to segment mall customers based on their annual income and spending score. With proper guide and code. Build with Streamlit for UI.

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mcychan/nQuantCpp

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

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tejaswirupa/Unsupervised-Learning-Analysis-of-causes-of-death-among-children

Analyzed global child mortality data using PCA and clustering to identify cause-based patterns across 180+ countries. Revealed dominant mortality factors like respiratory infections and preterm birth in high-risk regions.

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orrorcol/soinn

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

Language: C++ - Size: 1.05 MB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 1

alouchar/PhytoCytoTraits

Graphical User Interface to retrieve flow cytometry informations at the individual level.

Language: R - Size: 129 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

janghyuncho/PiCIE

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

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HongJea-Park/robust_EM_for_gmm

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

Language: Python - Size: 10.6 MB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 4

Setia-Verma-Lab/endometriosis_subtyping

Code accompanying the manuscript: "Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records".

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zcebeci/fcvalid

Internal Validity Indexes for Fuzzy and Possibilistic Clustering

Language: R - Size: 157 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

Rishitha2211/Customer-Segmentation-and-Predicting-Churn

clustering and classification techniques on e-commerce data.

Language: Python - Size: 20.5 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AlessandraMonaco/Visual-Analytics

Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail

Language: JavaScript - Size: 18.3 MB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 4

aoluwolerotimi/Kickstarter-Project-Clustering

Descriptive analytics project using kprototypes to discover project profiles from a dataset of 15,000+ projects.

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jiko23/JAYANTA_-techgig-

Keyword/entity/phrases identification & a possible approach to map to categories

Language: Python - Size: 189 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

KizMan-23/unsupervised_models

underlining patterns and relationship between data

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XinaiLU/Text-Clustering-in-Chinese-Demo

A small academic competition on an interdisciplinary track, the goal is to classify agricultural bloggers on a short video platform based on data crawled.

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gsarti/cancer-detection

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

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AnnaAnastasy/Clustering-Fish-Species

A comprehensive project demonstrating the use of various clustering techniques to analyze and group fish data effectively.

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Jonkkeyler333/EDA_dengue

Project of data analytics

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

Categorize the countries using Partitioning and K-mean 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.

Language: R - Size: 1.21 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0

RoryQo/Happiest-Countries

Categorize the countries using Partitioning and K-mean clustering with the 2018 happiness survey that determines the overall happiness of the country. Then we can see the true happiest countries.

Language: R - Size: 315 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

Frank-Deng-WH6HS/Geospatial_Artif_Intell_S110056

中国地质大学（武汉）地理信息工程学院开设的一门选修课。An optional curriculum held by School of GI Engineering, CUG

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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.

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ragibson/CUDA-k-means

An implementation of Lloyd's algorithm for data clustering on GPUs and computational accelerators.

Language: TeX - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

beatricebs/CRISM-python-unsupervised-clustering

Perform unsupervised clustering on CRISM hyperspectral data

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K-RLange/Lex2Sent

Lex2Sent package for unsupervised text classification/clustering

Language: Python - Size: 55.7 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

AjinkyaGhadge/PCA-from-scratch-in-Python

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

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iamluirio/unsupervised-learning-clustering

DBSCAN Clustering algorithm: Cosine Similarity metric.

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GreshmaShaji/Customer-Segmentation-Clustering

Customer segmentation analysis using clustering techniques to optimize marketing strategies for a retail store.

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Parita2442/OkCupid-NLP-and-Recommendation-Algorithm Fork of S-Gunjan/BA820-A1-OkCupid

The project aims to combat loneliness using OkCupid's dataset. Leveraging unsupervised ML techniques, it'll develop a recommendation algorithm to enhance profile matching based on compatibility, improving success rates in finding meaningful connections on the platform.

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PiotrTymoszuk/clustTools

Comprehensive dimensionality reduction and cluster analysis toolset

Language: R - Size: 392 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mthiboust/somap

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

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PurpleDragonFlower/NYC-College-Taxi

Machine Learning Project using NYC Yellow Taxi Cab Dataset

Language: R - Size: 89.6 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

ThatCoryGirl/unsupervised-ml-challenge

Python, unsupervised machine learning

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abhi227070/Customer-Segmentation-Using-KMeans

Utilizing KMeans clustering, this project segments customers for targeted marketing and analysis. Developed on Google Colab, it imports datasets from Kaggle, performs data analysis, preprocessing, and model building, providing actionable insights for businesses.

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01Vishwa/Customer-Segmentation

Prodigy-Mall Customer Segmentation

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OSCGRA/my-workcation-path

"GitHub project for finding campgrounds and remote workspaces. Discover, organize, and enhance your mobile experience!"

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singh-pawan/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

About Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

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vishal815/Silhouette-Coefficient-Calculation-and-Cluster-Diagram

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Wolverine-Shiva/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

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takwan/Func-connectivity-based-parcellation

Unsupervised clustering of globus pallidus and striato-thalamic regions

Language: MATLAB - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

amanraghuvanshi/Consumer-Purchase-Analysis

Customer Purchase Analysis

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mlbio-epfl/hume

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

Language: Python - Size: 250 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

AjNavneet/E2E_CustomerSegmentation_PyCaret_Streamlit

We build end-to-end unsupervised solution for customer segmentation using PyCaret deploy the model using Streamlit.

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brechmos/elodin-nn

Unsupervised image classification using feature vectors derived from ImageNet

Language: Python - Size: 79.1 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

RAGHAV-N5/UnsupervisedLearningTrading-SentimentData-GarchModel

This is a project which uses Data Science, Machine learning to predict the stock movements, minimize the risk and maximise gains of portfolio using fama-french factors and many other models.Also the sentiment towards stocks are also monitored using sentiment analysis. Garch Model is used to predict the volatility and movements for intraday trading.

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MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

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benjdiasaad/MapReduce_K-means

Implémentation de l'algorithme de clustering k-means en utilisant le framework Hadoop version 3.1.3 (MapReduce).

Language: Java - Size: 32.2 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

walidsi/identify-customer-segments

An unsupervised learning project to identify segments of the population that form the core customer base for a mail-order sales company

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ml4py/speclus4py

Spectral clustering implementation for distributed machine learning

Language: Python - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

CarsonScott/HSOM

Hierarchical self-organizing maps for unsupervised pattern recognition

Language: Python - Size: 174 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 54 - Forks: 10

Ayantika22/PCA-Iris-Clustering-Visualization

Principle Component Analysis Clustering Visualization for Iris dataset

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Ayantika22/LDA-Linear-discriminant-Analysis-for-Wine-Dataset

LDA(Linear discriminant Analysis) for Wine Dataset in machine learning

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seloufian/Basic-Data-Miner

Exploration of the different phases of Data Mining: Data visualization, their preprocessing and the implementation of multiple algorithms for Data Mining.

Language: Java - Size: 2.51 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

pratheekTM/Topic-Modeling-on-BBC-News-Articles

The objective is to identify major themes/topics across a collection of BBC news articles. Clustering algorithms such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA) have been used for clustering the news articles into different topics.

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jonzia/GaussianMixture

Unsupervised clustering with Gaussian mixture models (GMMs) (MATLAB).

Language: MATLAB - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Adri-12-svg/ML

We have taken a dataset in which we studied the relationship between two independent variables and one dependent variable, after preprocessing, cleaning and finally filtering them to have better output with greater Efficiency.

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vicky60629/Segmentation-of-Credit-Card-Customers

Segmentation of Credit Card Customers

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baggepinnen/AudioClustering.jl

Utilities for clustering of audio samples

Language: Julia - Size: 302 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

chinmaysharmacs10/The_Fashion_Capital

Repo for clustering model code submission of Flipkart Grid 2.0 Hackathon project

Language: Python - Size: 25.8 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

povstenko/clustering-mall-customers

💠 KMeans Unsupervised Clustering task with "Mall Customers"

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ghadj/Kohonen-Neural-Network

Implementation of Kohonen neural network in java.

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tandriamil/clustering-based-ids

An unsupervised clustering (K-means, DBSCAN) Intrusion Detection System project

Language: Python - Size: 282 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

NikhilGupta1997/Data-Mining-Algorithms

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

Language: C++ - Size: 4.69 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 0

zyuan-astro/StarGO-OC

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

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rushanmukherjee/Physiological-Activity-Tracker-using-Vitality-Signatures

We investigate how different physiological activities change our Heart Rate and SpO2 values and created a prototype for activity tracking.

Language: Python - Size: 606 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

tabithaks/Capstone-GE-Asset-Tracking

Columbia University Data Science Master Capstone Project. The goal of this project was to cluster trajectories by shape for later optimization.

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simonEllershaw/Unsupervised_medical_BERT

NLP experiments comparing unsupervised and supervised BERT finetuning approaches on medical data.

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fereol023/Metaheuristics-for-variable-selection-UL

Algorithmes de selection de variables pour préparer un apprentissage non supervisé. La version finale du programme est sélectionne les prédicteurs les plus pertinents en effectuant un apprentissage à chaque génération. La métrique optimisée (dans le cadre du dataset utilisé) est l'accuracy. Nous avons testé les deux métaheuristiques sur un dataset de 1551 variables. || Two variable selection algorithms to prepare unsupervised learning. The final version of the program selects the variables by performing a learning at each generation. The optimized metric (in the context of the dataset used) is the accuracy rate.

Language: Python - Size: 760 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Davidsonity/GenderByVoice

Unsupervised Machine Learning Algorithm

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khaors/KohonenF03

A fortran 2003 library for Self-Organizing Maps

Language: Fortran - Size: 359 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

charmichokshi/Unsupervised-Image-Segmentation-Algorithms

Language: Python - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 2

anshul1004/TweetsClustering

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

Language: Python - Size: 3.32 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 4

TheDatumOrg/kshape-matlab

Matlab implementation for k-Shape

Language: MATLAB - Size: 451 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 50 - Forks: 45

VetlaPavanKalyan/Unsupervised-Learning

This project is done by me.

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Francode77/Unsupervised_HAR

Unsupervised learning for the detection of patterns in human activity sensor data

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mohammadhashemii/Web-Crawler-Detection

Web Crawler Detection using Unsupervised Algorithms

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ndgigliotti/cluster-optimizer

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

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creinders/ClusteringAlgorithmsFromScratch

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

Language: Python - Size: 4.91 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

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年第十一届中国大学生服务外包创新创业大赛A10赛题

Language: Python - Size: 113 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 5

xxl4tomxu98/Big5-kmeans-clustering

Kmeans clustering algorithm is unsupervised machine learning library that can divide this large 2018 dataset of over 1 million rows of answers from survey that answers 50 questions with level 1 through 5 on Big 5 personality traits. Predicted raw score is further normalized to show percentiles of relative importance.

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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.

Language: Python - Size: 2.01 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 0