Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

Projects in Awesome Lists tagged with kmeans-clustering

A curated list of projects in awesome lists tagged with kmeans-clustering .

https://github.com/GoogleCloudPlatform/df-ml-anomaly-detection

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

anomaly-detection bqml cybersecurity dataflow dlp kmeans-clustering log network pubsub

Last synced: 31 Jul 2024

https://github.com/googlecloudplatform/df-ml-anomaly-detection

Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

anomaly-detection bqml cybersecurity dataflow dlp kmeans-clustering log network pubsub

Last synced: 28 Sep 2024

https://github.com/maksimekin/covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

bokeh classification clustering coronavirus covid-19 dimensionality-reduction kaggle kmeans kmeans-clustering machine-learning pca principal-component-analysis random-forest sgd-classifier sklearn tsne

Last synced: 26 Sep 2024

https://github.com/solzimer/skmeans

Super fast simple k-means implementation for unidimiensional and multidimensional data.

browser centroid cluster fast javascript k-means k-means-clustering kmeans kmeans-algorithm kmeans-clustering multidimensional nodejs unidimensional

Last synced: 31 Jul 2024

https://github.com/rmiguelkelly/quickcluster

A KMeans implemented in C++ with Python bindings and GPU acceleration

clustering clustering-algorithm cpp cuda gpu kmeans kmeans-clustering metal objective-c python python3 unsupervised-learning

Last synced: 29 Sep 2024

https://github.com/burhanahmed1/twitter-sentiment-analysis-using-pyspark

This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.

apache-spark batch-gradient-descent kmeans-clustering knearest-neighbor-classification machine-learning matplotlib nltk-python numpy pandas pyspark python schotastic-gradient-descent seaborn sentiment-analysis textblob-sentiment-analysis

Last synced: 28 Sep 2024

https://github.com/pharo-ai/k-means

K-means clustering in Pharo

clustering kmeans kmeans-clustering pharo

Last synced: 03 Aug 2024

https://github.com/imsahil007/kmeansimage

Python package to compress images in python using KMeans-Clustering technique

clusters image-compression jupyter-notebook kmeans-clustering pypi-package python python3

Last synced: 02 Oct 2024

https://github.com/navdeep-G/h2o3-gapstat

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

big-data clustering data-science datascience distributed gap-statistic h2o-3 java kmeans kmeans-clustering machine-learning multithreading open-source

Last synced: 04 Aug 2024

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 26 Sep 2024

https://github.com/ayushchakraborty/compression-app

This is a work-in-progress project in where I try to employ the skills i gained from the Machine Learning specialisation course from Coursera to build a simple web app using streamlit where images can be compressed with some more additional functionalities. Updates will be coming soon

coursera-machine-learning kmeans-clustering machine-learning python streamlit

Last synced: 30 Sep 2024

https://github.com/hamzazafar10/car-price-predication-knn

Predicate car price from 4300+ data entries in dataset It Include KNN, Neural network ,Naive Bayes, KMean Clustering

data-science kmeans-clustering knn-algorithm machine-learning matplotlib naive-bayes-algorithm neural-network pandas sklearn

Last synced: 26 Sep 2024

https://github.com/majobasgall/customer_segmentation_using_kmeans_and_streamlit

Streamlit app with a business case study focused on customer segmentation using K-means clustering

customer-segmentation kmeans-clustering python streamlit

Last synced: 26 Sep 2024

https://github.com/hanifheinrich/thesis-topic-recomendation

Implementasi Algoritma Naive Bayes untuk Sistem Rekomendasi Topik Tugas Akhir Mahasiswa DSI Unand

kmeans-clustering naive-bayes-classifier python streamlit

Last synced: 26 Sep 2024

https://github.com/shamikaredkar/kmeans-algorithm-visualizer

The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.

bulma css html interactive-visualizations interactive-webpage javascript jquery kmeans kmeans-clustering kmeans-clustering-algorithm machine-learning machine-learning-algorithms ui-design

Last synced: 01 Oct 2024

https://github.com/selcia25/sleep-disorder-detection

πŸ’€This project aims to develop an automated method for detecting sleep disorders from heart rate signals.

cnn-classification kmeans-clustering machine-learning matplotlib scikit-learn scipy sleep-disorders tensorflow

Last synced: 01 Oct 2024