k-means-clustering | Topic | Ecosyste.ms: Repos

Topic: "k-means-clustering"

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 5 days ago - Pushed at: almost 4 years ago - Stars: 388 - Forks: 195

Suji04/ML_from_Scratch

Implementation of basic ML algorithms from scratch in python...

Language: Jupyter Notebook - Size: 540 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 293 - Forks: 229

pavankalyan1997/Machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 163 - Forks: 167

kjahan/k_means

A Python implementation of k-means clustering algorithm

Language: Python - Size: 273 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 148 - Forks: 94

DRSY/MoTIS

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Language: Swift - Size: 16.5 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 123 - Forks: 10

Hassaan-Elahi/Writing-Styles-Classification-Using-Stylometric-Analysis

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

Language: Python - Size: 3.53 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 84 - Forks: 34

holgerteichgraeber/TimeSeriesClustering.jl

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Language: Julia - Size: 171 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 83 - Forks: 23

solzimer/skmeans

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

Language: JavaScript - Size: 503 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 75 - Forks: 11

cmdevries/LMW-tree

Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, bitwise clustering

Language: C++ - Size: 74.5 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 74 - Forks: 20

trunghieu-tran/Sentiment-Analysis-facebook-comments

Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 70 - Forks: 43

sejaldua/music-clustering

K-Means Clustering and PCA to categorize music by similar audio features

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 24

kongruksiamza/MachineLearning

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Language: Python - Size: 1.64 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 63 - Forks: 43

Nicolik/Segm_Ident_Vertebrae_CNN_kmeans_knn

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

Language: Python - Size: 5.47 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 61 - Forks: 7

Wei2624/AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Language: HTML - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 17

yanqiangmiffy/text-cluster

:dango: 文本聚类 k-means算法及实战

Language: Python - Size: 9.27 MB - Last synced at: 19 days ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 12

PacktWorkshops/The-Deep-Learning-with-Keras-Workshop

An Interactive Approach to Understanding Deep Learning with Keras

Language: Jupyter Notebook - Size: 229 MB - Last synced at: 26 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91

CihanBosnali/Machine-Learning-without-Libraries

Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work

Language: Jupyter Notebook - Size: 126 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 50 - Forks: 28

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: 22 days ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 9

PacktWorkshops/The-Machine-Learning-Workshop

An interactive approach to understanding Machine Learning using scikit-learn

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 38 - Forks: 48

Ztrimus/Stock-Market-Analysis

Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 19

jefkine/zeta-learn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Language: Python - Size: 10.6 MB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 38 - Forks: 6

mahesh147/KMeans-Clustering

A simple K-Means Clustering model implemented in python

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 54

seraogianluca/k-means-mapreduce 📦

K-Means algorithm implementation with Hadoop and Spark for the course of Cloud Computing of the MSc AIDE at the University of Pisa.

Language: Java - Size: 20.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 18

lhalloran/LandSurfaceClustering

Land surface classification using remote sensing data with unsupervised machine learning (k-means).

Language: Python - Size: 5.58 MB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 34 - Forks: 10

tranleanh/centroid-neural-networks

Centroid Neural Networks for Clustering

Language: Python - Size: 7.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 2

MainakRepositor/Book-Recommender

Content and Collaborative Filtering based book recommendation system

Language: Python - Size: 18 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 29 - Forks: 6

kitestring/DataQuest

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

Language: Jupyter Notebook - Size: 71.5 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 29 - Forks: 15

lucaslattari/MachineLearningSeries

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 48

zodf0055980/Yuan-fuzz

Fuzzing with the generated argument

Language: C - Size: 986 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 9

darenr/wordnet-clusters

Clustering a set of word/tags using K-Means with word2vec or wordnet distance

Language: Python - Size: 216 KB - Last synced at: 4 days ago - Pushed at: about 6 years ago - Stars: 26 - Forks: 5

gouravaich/k-means-clustering-movie-ratings

Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 26 - Forks: 20

maneeshavinayak/Clustering-News-Headlines

The project groups scrapped News headlines using NLTK, K-Means clustering and Hierarchical clustering using Ward Method.

Language: Python - Size: 415 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 8

AsadiAhmad/Partition-Based-Clustering

Comparing partition based clustering, K-means, K-means++, K-medoid

Language: Jupyter Notebook - Size: 8.16 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 24 - Forks: 0

AugustoCL/ClusterAnalysis.jl

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

Language: Julia - Size: 6.3 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 4

chgl16/data-mining-algorithm

:bar_chart: 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

Language: Python - Size: 8.79 KB - Last synced at: 21 days ago - Pushed at: almost 6 years ago - Stars: 24 - Forks: 7

bhattbhavesh91/k_means_iris_dataset

KMeans Clustering for IRIS Dataset Classification

Language: Jupyter Notebook - Size: 164 KB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 26

Wittline/Dropout-Students-Prediction

The goal of this project is to identify students at risk of dropping out the school

Language: HTML - Size: 6.91 MB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 19

ChaymaBouzaidii/Change-detection-in-multitemporal-satellite-images

Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍

Language: Python - Size: 15.4 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 22 - Forks: 17

rjtmahinay/fuzzy-association-rule-mining

Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.

Language: Python - Size: 113 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 11

JustinaZ/pcaReduce

Code to support: "pcaReduce: hierarchical clustering of single cell transcriptional profiles"

Language: R - Size: 2.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 11

PrincetonUniversity/MouseMotionMapper

Matlab pipeline for semi-supervised mouse behavioral classification

Language: MATLAB - Size: 48.9 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 0

zauri/clustering

Sequence clustering using k-means with dynamic time warping (DTW) and Damerau-Levenshtein distance as similarity measures

Language: Python - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

Msq-9/Extraction-of-Skills

Extracting Skills from resume using Machine Learning

Language: Jupyter Notebook - Size: 281 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 19 - Forks: 13

RubixML/Colors

Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.

Language: PHP - Size: 251 KB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 18 - Forks: 3

tugot17/K-Means-Algorithm-From-Scratch

The K-Means algorithm, written from scratch using the Python programming language

Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 5

gympohnpimol/Last-Mile-Logistics

Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 16 - Forks: 0

georgeslabreche/opssat-smartcam

On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.

Language: Python - Size: 54.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 1

kirralabs/text-clustering

learn about indonesian text classification and topics modeling

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 4

cereniyim/Customer-Segmentation-Unsupervised-ML-Model

Customer-base segmentation over e-commerce sales data

Language: Jupyter Notebook - Size: 90.1 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 12

tjnel/DSU_INSuRE_SP19_IDS_Prioritization

IDS Alert Prioritization INSuRE Research Project

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 15 - Forks: 6

shr1911/Tourism-Recommendation

• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M RECOMMENDATION METHODS : • Near-by Recommendation Algorithm - KNN Algorithm • Rating based and Price based Recommendation Algorithm - K-Means algorithm • User personalized recommendation Algorithm - Classification - Decision tree using Gini index • Time based Recommendation Algorithm - Using Data Mining Technology - Python, Django Framework, ML Algorithms, Graphlab Ipython (For Proof of Concept)

Language: Python - Size: 428 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 10

skt7/dominant-colors

Language: Python - Size: 32.2 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 10

armineminasyan/energy-consumption-dataviz

Discovering energy consumption patterns of residential and commercial users.

Language: Jupyter Notebook - Size: 33.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 13 - Forks: 8

rameshjes/NLP-

This repository contains details and key points of research papers related to NLP and Deep Learning

Language: Python - Size: 5.49 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1

erenonal/K-means_customer_segmentation

Using K-Means algorithm for customer segmentation due to credit card behavior

Language: Jupyter Notebook - Size: 688 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3

sohanghosh29/Clustering-Codes

This repository contains codes for performing some clustering techniques including KMeans and Sparse Subspace Clustering

Language: Jupyter Notebook - Size: 580 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 6

Abhinandan11/image-segmentation-kmeans

Basic image segmentation & compression using K-Means clustering

Language: Python - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 13 - Forks: 3

saman-nia/Deep-Neural-Networks-for-Clustering

Deep Learning Clustering with Tensor-Flow in Python

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 11

flsing/machine-learning

Andrew Ng's Machine Learning Course

Language: Matlab - Size: 26.8 MB - Last synced at: 9 months ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 14

gtiwari333/speech-recognition-java-hidden-markov-model-vq-mfcc

Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc

Language: Java - Size: 1.66 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 12 - Forks: 8

Devinterview-io/k-means-clustering-interview-questions

🟣 K-Means Clustering interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 5

maciejbalawejder/ML-Algorithms-Collection

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 11

sidharth178/Market-Segmentation-in-SBI-life-Insurance

A machine learning clustering model for customer segmentation to define marketing strategy.

Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

alaradirik/TR-NLP-workshop

2020 Açık Seminer - Turkish NLP workshop

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 3

gittar/k-means-u-star

implementation of the k-means-u* clustering algorithm

Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 12 - Forks: 6

joshwcheung/csci-567

My solutions for the USC course CSCI 567: Machine Learning

Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 9

SaadatRizvi/Movie-Recommendation-System

Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)

Language: Python - Size: 1.65 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 7

conradsnicta/armadillo-gmm

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

Language: C++ - Size: 1000 Bytes - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4

sinfulExiled/automated-glasses-recomendation-system

glasses try-on system by finding the best shape of glasses based for your face shape using K-means and CNN algorithms

Language: JavaScript - Size: 5.56 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 2

Aaron-Paul/Image-Segmentation

[MINOR PROJECT]The aim of this project is to investigate the implementation and the applications of Image segmentation .

Language: Jupyter Notebook - Size: 83.8 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 3

rwguerra/Machine-Learning-with-Python-IBM

Coursera IBM ML course projects with notebooks

Language: Jupyter Notebook - Size: 234 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 13

nikitaa30/Image-Compression-using-ML-and-Neural-Networks

This repository contains Image compression techniques employing various machine learning and deep learning techniques.

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 3

tugrulhkarabulut/K-Means-Clustering

An implementation of K Means Clustering algorithm in Python and some applications

Language: Jupyter Notebook - Size: 8.68 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 13

hoangsonww/EstateWise-Chapel-Hill-Chatbot

🏠 A real estate chat app featuring secure auth, conversation management, and personalized property recommendations. Powered by RAG, kNN, k‑means clustering, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. NOTE: Chatbot maybe unavailable due to Gemini API rate limits and traffic.

Language: TypeScript - Size: 13.5 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 10 - Forks: 5

shahpratham/Image_Grouping

Segregates images using feature extraction and Clustering algorithm

Language: Python - Size: 404 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 3

tgbnhy/k-paths-clustering

Repository of k-paths: code, dataset, technical report, visualization

Language: Java - Size: 108 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 11

imtiazziko/Variational-Fair-Clustering

Variational Fair clustering

Language: Python - Size: 10.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 2

Amirhossein-Rajabpour/Fuzzy-C-Means-Clustering

Computational Intelligence Course Project

Language: Jupyter Notebook - Size: 822 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 1

safakozdek/Color-Quantization

Color quantization is the process of reducing number of colors used in an image while trying to maintain the visual appearance of the original image.

Language: Python - Size: 5.61 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 6

coderaky/Imago

🖼 Imago is an image processing project based on Image classification, Compression, Data Augmentation, and Super-Resolution using CNN, Keras, and TensorFlow.

Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 1

NickLucche/image_segmentation

Image Segmentation using k-means, n-cuts and superpixels

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 28 days ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 4

Pranav-Rastogi/k_medoids

A clustering algorithm related to the k-means algorithm and the medoidshift algorithm.

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 2

nssharmaofficial/kmeans-in-cuda

K-Means algorithm parallelized in CUDA

Language: Cuda - Size: 23.3 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 9 - Forks: 0

hckr/k-means-visualization

Two-dimensional visualization of k-means clustering algorithm

Language: JavaScript - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3

monk1337/Mixclu

A Python package for unsupervised mixed datatypes clustering

Language: Jupyter Notebook - Size: 860 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 2

EmilienN/Data-Science-Portfolio

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 3

alexander-lee/k-means-image-compression

Using K-means Clustering for Image Compression

Language: Python - Size: 346 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 3

S-B-Iqbal/Predicting-Power-Output-of-a-combined-cycle-power-plant.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 6

hyunsooseol/snowCluster

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

Language: R - Size: 438 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 8 - Forks: 2

IBM/ibm-developer-watsonx

Storing code used in Generative AI Developer Guides on the IBM Developer Website

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 3

Treetion/financial-ratio-clustering

2020 project by Shu Bin at Claremont McKenna College. This project applies Elkan's K-Means algorithm to S&P 500 stocks using the underlying companies' financial ratios. The algorithm is able to consistently create portfolios that exceed market return.

Language: Python - Size: 9.93 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

Alnasser0/COE426-Project-DP-Kmeans

Data Privacy Course (COE426) Project in KFUPM - Term 201.

Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 2

hiroyuki-kasai/SSPW-kmeans

Sparse simplex projection-based Wasserstein k-means

Language: MATLAB - Size: 51.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 0

THUYimingLi/t-k-means

The implementation of our paper 't-k-means: A Robust and Stable k-means Variant', accepted by the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.

Language: MATLAB - Size: 2.91 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 1

srp98/Unsupervised-Learning

Clustering Algorithms based on centroids namely K-Means Clustering, Agglomerative Clustering and Density Based Spatial Clustering

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 8

Adioosin/image-compression-using-k-mean

This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 13

4e0n/octopus-reel

"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interfaces and neuro-feedback applications.

Language: C++ - Size: 1.95 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 7 - Forks: 4