KlimentLagrangiewicz/k-means-in-C

Implementation of k-means algorithm in C (standard C89/C90)

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KlimentLagrangiewicz/k-means-in-Zig

Implementation of k-means algorithm in Zig

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byShukrullo/K-means-example-in-Python

KMeans(n_clusters=4, random_state=42)

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AbbasPak/Clustering-Methods-Examples

This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 1

aryanGupta-09/Kmeans-using-MapReduce

K-means clustering algorithm using MapReduce.

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Mohansharmila/Office-furniture-analysis-using-Rstudio

In this two cluster approaches are used: hierarchical clustering and K-means clustering. It is unsupervised learning technique for grouping related data points which shows same behaviour in the dataset regardless of the outcome.

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nssharmaofficial/kmeans-in-cuda

K-Means algorithm parallelized in CUDA

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bytemomo/img-segmentation 📦

Language: C++ - Size: 6.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

owengregson/HellaFast

A K-Means algorithm implementation involving various optimization techniques. Used to group MNIST dataset of hand-written numbers 0-9.

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AmirMotefaker/Customer-Segmentation-using-R

Customer Segmentation using R

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binhvu3/Salmon-Analysis

Predict Alaska's Salmon population using various Machine Learning models

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KhaledAshrafH/K-Means-Clustering

This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.

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rahulrajan15/Alteryx_DA_Project

Using Alteryx, analyze customer data to forecast future issues, support business growth, address challenges, and provide tailored solutions.

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ialexmp/Machine-Learning

This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.

Language: Jupyter Notebook - Size: 75.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

Abir0810/COVID-19-unsupervised-learning

Unsupervised learning algorithms are used here. agglomerative algorithms and k-means clustering are used here.

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Cluster-Team/Cluster-Visualizer

Cluster Visualization Tool

Language: C# - Size: 21.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

aibysalman/CustomerSegmentationViaK-means

In this Python notebook, we explore how K-Means can be used for customer segmentation to gain a competitive advantage and improve a business's bottom line.

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stefonalfaro/AI-as-a-Service

An API for managing chat completions, fine-tuning, payments, plans, and configurations.

Language: C# - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

SNAILGROUP-AI/STUDY-ML

머신러닝 알고리즘 학습 내용 정리

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mohkharma/k-means-algorithm

The K -Means algorithm implementation from scratch in Python based on Euclidean distance

Language: Python - Size: 3.82 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

KWASSI09/unsupervised-machine_learning

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munno88/Cryptocurrencies

An analysis using unsupervised Machine Learning algorithm to discover unknown patterns

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red-dragon65/QtMovieSearch

A movie recommendation engine built with python and a Qt GUI.

Language: Python - Size: 609 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

deepanshu-Raj/K-Means-Agorithm-Implementation

This repo contains the Implementation of K-Means Clustering Algorithm from scratch and an Image Segmentation Project, implemented using the same algorithm.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

exTerEX/kmeans

A C implementation of K-Means clustering algorithm with Python bindings

Language: Python - Size: 130 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shourya-gupta/Parallel-K-Means-Algorithm

Parallel-K-Means-Algorithm

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kkeyan931/Machine-Learning

This Repo contains various Machine learning Algorithm including Linear regression, Logistic regression, Neural Networks, SVM, Clustering algorithms, K-means Algorithm, Anomaly detection, and Recommander system etc...

Language: MATLAB - Size: 36.1 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0