saminens/Machine-Learning-Models

Machine Learning models on Anomaly detection, Recommender system on movies based on IMDB dataset, Digit Identification using Logistic regression, Neural network based facial feature recognition, PCA, SVM based Spam filter, Logistic Regression - Nelder Mead

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Michael-Gkotsis/k-means

A k-means algorithm implementation to c language.

Language: C - Size: 32.2 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

DhruvinV/MachineLearning

Machine Learning Algorithms implemented using Numpy and Scipy

Language: Python - Size: 15.4 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

manncodes/K-means

We made a Basic Implementation of K-means Clustering Algorithm for our mini-project of 1st Semester.

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disha2sinha/Machine-Learning-Algorithms-From-Scratch-

Some Basic Machine Learning Algorithms

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yash98/parallelizedKMeans

Sequential and parallel implementations of K-means clustering algorithm

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Jeffresh/kmeans-clustering

A classifier using the kmeans algorithm.

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itzvnl/Data-Analysis-project-1-Soccer-Analysis-using-Kmeans-using-python

Here is my First Data Analysis Project ,here am using the soccer data set used for this project

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niketan108/K-Means-Agglomerative-Hierarchical-Clustering-DBSCAN-Density-based-clustering-

Built K-Means, Agglomerative(Hierarchical Clustering) & DBSCAN(Density based clustering) Clustering on Amazon fine food review dataset

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heisenbuug/K-Means-Clustering

K-Means Clustering

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flpinheiro/APC_trabalho2_Kmeans

Código desenvolvido como parte da avaliação da disciplina Algoritmos e Programação de Computadores (113476) com o professor Vinícius Ruela Pereira Borges do departamento de Ciência da computação da Universidade de Brasília no primeiro semestre de 2018, desenvolvido pelo estudante Felipe Luís Pinheiro.

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kajakgupta/K-Means-clustring-of-Iris-dataset

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deanone/kmeans-Javascript

Impementation of the k-means clustering algorithm in Javascript

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justdvnsh/Machine-Learning-With-Python

A collection of machine learning models with python.

Language: Python - Size: 2.21 MB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

yeshymanoharan/kmeans-sequences

Implementation of K-means that categorizes sequences into groups based on similarity score derived from Smith-Waterman algorithm.

Language: Python - Size: 3.36 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

pama-arniel/K-Means-Clustering

An image compression implementation using K-means Clustering

Language: Python - Size: 799 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Rayryu/Color-Pallets-generators

Generating color pallets from images using k-means clustering algorithm and Java.

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aintzevi/kmeans-on-spark

Implementation of the K-Means algorithm using Scala and Spark

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shourya1997/K-Means-Color-Clustering

The program partitions and clusters the pixel intentsities of a RGB image.

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kmbuki/cluster_analysis

Cluster analysis - using different approaches

Language: R - Size: 852 KB - Last synced at: 8 months ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1

znreza/Unsupervised_learning

This repository contains codes for running k-means clustering and Gaussian Mixture Model based Expectation Maximization classification algorithms on large dataset in python

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