GitHub topics: clustering-methods

Repositories

philips-software/latrend

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

Language: R - Size: 62.9 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 31 - Forks: 5

omadson/fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

Language: Python - Size: 7.64 MB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 182 - Forks: 45

thieu1995/MetaCluster

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

Language: Python - Size: 3.14 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

smith6jt-cop/KINTSUGI

Jupyter notebook based multiplex image processing pipeline.

Language: Jupyter Notebook - Size: 475 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

Tolumie/Ai-Machine-Learning-Projects

A collection of hands-on Artificial Intelligence (AI) and Machine Learning (ML) projects covering supervised and unsupervised learning, ensemble methods, deep learning, and model evaluation. This repository provides practical implementations using real-world datasets, making it ideal for both beginners and experienced data scientists.

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

milaan9/Clustering_Algorithms_from_Scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

Language: Jupyter Notebook - Size: 6.5 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 201 - Forks: 179

okunator/cellseg_gsontools

Feature extraction from GEOJson nuclei and tissue segmentation maps

Language: Python - Size: 88.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 14 - Forks: 0

microsoft/Data-Discovery-Toolkit 📦

A data discovery and manipulation toolset for unstructured data

Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 12

QuantLet/USC Fork of 120BPM/CSC

Understanding Smart Contracts: Hype or Hope?

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 2

MohammadvHossein/ML-GYM

The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.

Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kshitizrohilla/mall-customer-segmentation-using-k-means-clustering-algorithm

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.

Language: Jupyter Notebook - Size: 328 KB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

clusterfreak/ClusterCore

Core classes for cluster analysis - Java - Fuzzy-C-Means and Possibilistic-C-Means Algorithms in an only marginally modified version from 2005.

Language: Java - Size: 4.96 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

FluveFV/MilanThermalComfortAnalysis

Repository for sharing project paper on the relationship between PET and type of land use, clustering geospatial information and visualizing it. The data and indications are kindly offered (and belong to) by Transport Transform. The course is taught by D. Giuliani and M. Napolitano ( @github.com/napo )

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AYSE-DUMAN/Clustering-by-Business-Income-and-Expenses

load and visualize data and clusters with scatter plots; prepare data for cluster analysis; perform centroid clustering with k-means; interpret clustering results and determine the optimal number of clusters for a given dataset.

Language: Jupyter Notebook - Size: 488 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

r0hankrishnan/us_housing

In this project, I reconstruct a US Housing data set, conduct EDA and data cleaning, and compute several models to examine the relationship between several predictors and HPI.

Language: R - Size: 7.38 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

anuragverse/ML-Workshop

ML Projects

Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

LCSB-BioCore/GigaSOM.jl

Huge-scale, high-performance flow cytometry clustering in Julia

Language: Julia - Size: 3.77 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 9

JannisCodes/migration-trajectories

This repository accompanies the publication: 'A Gentle Introduction and Application of Feature-Based Clustering with Psychological Time Series'.

Language: TeX - Size: 563 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

udityamerit/Machine-Learning-For-Beginners

Language: Jupyter Notebook - Size: 37.1 MB - Last synced at: 12 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

OscarTMa/Customer-Segmentation

Le clustering consiste à regrouper les données en clusters, où les objets d'un même groupe sont plus similaires entre eux qu'avec ceux des autres groupes.

Language: Jupyter Notebook - Size: 412 KB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mairamorenoc/webspatialscan

R package for OpenCPU backend to detect and visualize spatio-temporal disease clusters from the web

Language: HTML - Size: 213 KB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

bjam24/bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 28 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SirineMaaroufi/ML_Clustering_Explorations

This repository contains a series of notebooks exploring various clustering techniques in machine learning.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

erland-ramadhan/SARS-CoV-2-Variants-Clustering

Python implementations for efficient SARS-CoV-2 spike protein sequences clustering by variant.

Language: Python - Size: 410 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

COINtoolbox/DRACULA

Language: Python - Size: 147 MB - Last synced at: 14 days ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 4

pushkarsaini18/Customer-Behaviour-Pattern

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers. Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only on that particular segment.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

jesussantana/Data-Science-With-Python-IT-Academy

Learn how to extract value from data by ingesting, transforming, storing, analyzing, and visualizing data

Size: 18.6 KB - Last synced at: 15 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

KUSHALKUMARD/Customer-Segmentation-Project

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

Language: Python - Size: 177 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

manuelcalcada/ibm-coursera-machine-learning

This repo presents some solutions to IBM course at coursera "Machine Learning with Python"

Language: Jupyter Notebook - Size: 839 KB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

Tamoghna12/Unsupervised-ml-projects

This repo contains a comparative analysis of different machine learning classfiers.

Language: Jupyter Notebook - Size: 892 KB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

davidcamperom/Perception-Systems

Theory and Design of a Perception System

Language: MATLAB - Size: 8.13 MB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ialonsolinares/Advanced-Data-Analyses-for-Bike-Rental-Systems-BiciMAD-in-R

A detailed repository containing methods and analyses in R to enhance the efficiency of bike distribution for Madrid's bike rental system BiciMAD

Language: HTML - Size: 13.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

jg-you/sbm_canonical_mcmc

C++ implementation of a MCMC sampler for the (canonical) SBM

Language: C++ - Size: 21.5 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 0

FistOfHit/DocNet

Analysis using network theory to model interacations between doctors

Language: R - Size: 2.58 MB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

adriacabeza/GraphClustering

:milky_way: Method to partition large networks into communities

Language: TeX - Size: 121 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

nanokebab/flyer_distribution_routes

Divide city map into distribution routes for flyers using unsupervised machine learning.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tmralmeida/clust-based-trajpred

PyTorch(v1.12.0) implementation of Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction.

Language: Jupyter Notebook - Size: 178 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

JoachimGoedhart/PlotTwist

PlotTwist - a web app for plotting and annotating time-series data

Language: R - Size: 3.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 4

insilico/inbix

In Silico Bioinformatics Toolbox

Language: C++ - Size: 10.2 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

gulraizchoudhary/Random-Swap-Clustering-Algorithm

The "Random Swap" algorithm with a random dataset, visuals and example notebooks

Language: Python - Size: 539 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

JonatasFontele/machine-learning-lead-dell

Machine Learning codes approaching models, clustering, underfitting, overfitting and neural networks.

Language: Jupyter Notebook - Size: 398 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

haniye6776/fraud-detection-using-clustering

Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

alexsasu/Uni-ML-Projects

Projects for university that tackle supervised and unsupervised learning

Language: Python - Size: 1.02 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pajaskowiak/aucc

AUCC (Python Implementation)

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

MarinaMoreno/Client-Segmentation-Clustering

This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of clustering.

Language: Jupyter Notebook - Size: 8.89 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

helioribeiro/Project_03_Recommendation_System_Spotify

This project showcases how to use the KMeans clustering algorithm to suggest similar songs to a user using real-time pipelines with Kafka and Spark Streaming.

Language: HTML - Size: 5.39 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vishal-subbu/K_means_clustering

Matlab code to implement K-means clustering on a dataset

Language: Matlab - Size: 489 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

vijay06/Scikit-learn

In Repository you can find various problem solved using machine learning algorithm like Regression,Classification,Clustering and Performance Tunning with Scikit-Learn

Language: Jupyter Notebook - Size: 3.96 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

emilienaples/sample-projects

Recent sample projects ranging from Machine Learning topics such as Spectral Clustering, the construction of MLPs (Multilayer Perceptrons /Neural Networks), a master thesis in Computer Vision, and more.

Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

tarsus-lam/openai-jupyter-integration

Performing scRNA-Seq analysis using OpenAI API calls

Language: Jupyter Notebook - Size: 78.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ColeConte/nba-fuzzy-clustering

Fuzzy clustering implementation for NBA player classification.

Language: R - Size: 757 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gizemguleli/TR-Student-Evaluation

In this project the Turkey Student Evaluation dataset which in question consists of feedback from students who attended multiple courses at Gazi University, Ankara used.To analyze the questions we used unsupervised learning methods, which involve finding patterns or groupings in a given dataset without any labeled output variable.

Language: R - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 5.81 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

PSTAT197-F23/vignette-clustering-methods

Hierarchical and K-Means Clustering in R and application to California housing data

Language: HTML - Size: 8.43 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

kalyaniasthana/GenomicDataScienceAndClustering_BioinformaticsV

coding problems from course 5 of the Bioinformatics specialization

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

milvl/KIV_PRO_clustering

KIV/PRO code for semestral thesis 2

Language: Python - Size: 217 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rcv911/dendrogram

How to draw Dendrogram in clustering analysis

Language: Python - Size: 151 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

Prem-98/Clustering

different methods of clustering of data

Language: Jupyter Notebook - Size: 445 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

zinyosrim/customer-clustering-thesis

Bachelor Thesis: Application of Data Mining Methods for Customer Clustering. Segmenting customers of Shopify stores

Size: 848 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

chav-ngvyen/clustering_D3

Light-hearted "scrollytelling" tutorial of DBSCAN and HDBSCAN (clustering algorithms) using D3.js. My first stab at web dev/ HTML/ SVG/ D3/ JavaScript https://www.chaungvyen.com/clustering_D3/

Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

TrainingByPackt/Applied-Unsupervised-Learning-with-R

Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Language: R - Size: 19.3 MB - Last synced at: 11 days ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 18

peterwolf4/MRCO

Multi Resolution Cluster Optimization

Language: R - Size: 3.75 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

maykulkarni/Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 420 - Forks: 218

ashishyadav24092000/Clustering_DissimilarityMatrix

In this repo i have tried to explain how to calculate Euclidean Distance,manhattan distance, and Finally Calculating the Dissimilarity Matrix/Distance Matrix using python.

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

multicons/multicons

MultiCons: Multiple Consensus Clustering using Closed Patterns

Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0

Blaise-Tsh/Segmentation-and-Clustering-of-Neighborhoods-in-Toronto

Toronto is the provincial capital of Ontario and One of the most populous city in Canada and the fourth most populous city in North America. In 2016, foreign-born persons made up 47% of the population, compared to 49.9% in 2006. This project is an application of data science techniques to analyse Toronto City neighborhoods geospacial data in order to explore the similarity trends of venues and classify them into groups of most common characteristics. Foursquare API was used for neighborhoods exploration and K-Means clustering algorithm for classification. Folium library was used to visualize venues on the Toronto map.

Language: Jupyter Notebook - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0