k-means-algorithm

Here are 29 public repositories matching this topic...

nssharmaofficial / kmeans-in-cuda

K-Means algorithm parallelized in CUDA

cpp high-performance parallel parallel-computing cuda high-performance-computing k-means k-means-clustering cuda-programming k-means-algorithm

Updated Sep 5, 2024
Cuda

AbbasPak / Clustering-Methods-Examples

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

gaussian-mixture-models unsupervised-learning hierarchical-clustering fuzzy-clustering dbscan-algorithm k-means-algorithm

Updated Jan 23, 2025
Jupyter Notebook

stefonalfaro / AI-as-a-Service

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

ai linear-regression saas openai gpt linear-regression-models k-means-clustering gpt-3 openai-api k-means-algorithm gpt-4 gpt4

Updated Apr 5, 2023
C#

KhaledAshrafH / K-Means-Clustering

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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.

openmp gcc-complier high-performance-computing parallel-processing open-mp k-means-clustering euclidean-distances k-means-algorithm

Updated Aug 23, 2023
C

ialexmp / Machine-Learning

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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.

data-science machine-learning machine-learning-algorithms artificial-intelligence supervised-learning data-analysis clustering-algorithm supervised-machine-learning customer-segmentation machine-learning-concepts project-based-learning clustering-techniques mixture-of-gaussians supervised-classification k-means-algorithm model-training-and-evaluation marketing-and-sales-classification data-science-and-ai-engineering

Updated Dec 2, 2023
Jupyter Notebook

aibysalman / CustomerSegmentationViaK-means

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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.

marketing machine-learning big-data k-means k-means-clustering customer-segmentation profitability k-means-algorithm

Updated May 3, 2023
Jupyter Notebook

deepanshu-Raj / K-Means-Agorithm-Implementation

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

image-segmentation dbscan-clustering k-means-clustering k-means-algorithm dominant-colours

Updated Mar 31, 2022
Jupyter Notebook

AmirMotefaker / Customer-Segmentation-using-R

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Customer Segmentation using R

r clustering eda k-means data-exploration clustering-algorithm k-means-clustering elbow-method customer-segmentation silhouette-method factoextra k-means-algorithm optimal-clusters optimal-number-of-clusters spending-score annual-income age-distribution customer-gender-visualization customer-gender

Updated Jul 21, 2024
R

kkeyan931 / Machine-Learning

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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...

machine-learning svm neural-networks supervised-learning clustering-algorithm anomaly-detection recommander-system un-supervised-learning k-means-algorithm

Updated Jan 12, 2021
MATLAB

aryanGupta-09 / Kmeans-using-MapReduce

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K-means clustering algorithm using MapReduce.

Updated Nov 30, 2024
Python

exTerEX / kmeans

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

python c algorithm r clustering python-bindings k-means c11 kmeans-clustering kmeans-algorithm k-means-clustering k-means-implementation k-means-algorithm

Updated Oct 1, 2023
Python

bytemomo / img-segmentation

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image-processing kmeans-clustering k-means-algorithm

Updated Jan 8, 2023
C++

rasmodev / K-means-Clustering-Fundamentals

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This repository contains an example of using K-means clustering to partition data into distinct groups based on similarity.

k-means-implementation-in-python k-means-clustering k-means-algorithm

Updated Jul 16, 2024
Jupyter Notebook

hrishivib / k-means-iris-MNIST-classification

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K-means algorithm is implemented from scratch for clustering on iris dataset and MNIST dataset.

python machine-learning machine-learning-algorithms mnist-dataset iris-dataset k-means-implementation-in-python k-means-clustering k-means-algorithm

Updated Sep 16, 2022
Python

munno88 / Cryptocurrencies

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An analysis using unsupervised Machine Learning algorithm to discover unknown patterns

python scikit-learn machine-learning-algorithms plotly pandas hierarchical-clustering k-means-algorithm

Updated Oct 7, 2022
Jupyter Notebook

KWASSI09 / unsupervised-machine_learning

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pca-analysis python-3 tsne-algorithm unsupervised-machine-learning k-means-algorithm

Updated Oct 31, 2022
Jupyter Notebook

Mohansharmila / Office-furniture-analysis-using-Rstudio

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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.

html algorithms rstudio data-visualization data-analysis data-preprocessing clustering-algorithm k-means-algorithm