🍡 文本聚类 k-means算法及实战

A C++ implementation of simple k-means clustering algorithm.

Python implementation of basic machine learning algorithms

color recognition methods(kmeans and hsv)

Python Implementation of k-means clustering

K-mean clustering

ML Algorithm implementation from scratch for practice

Contains machine learning algorithms I have implemented from scratch. Also contain ancilliary functions.

Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ionosphere

K-Means Clustering Algorithm visualized using OpenGL with an extensible interface.

A recommender system based on data provided by MHRD on colleges and universities in India. Website-

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

A k-means algorithm implementation to c language.

A version of the K-Means Algorithm targeting the Capacitated Clustering Problem

Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark

An improved k-means clustering algorithm with improved centroid selection and clustering functions

Cluster the documents using K-Means clustering Term Frequency - Inverse Document Frequency

Multithread open source application for k-means clustering, support really big files (lineCount <= 1000000000, dimensionsCount <=1000, centroids count <=1000)

Bare and Library implementations of various Machine Learning Algorithms

The implementations in this repository deal with clustering and dimensionality reduction for MNIST digits dataset. Kmeans clustering algorithm is implemented. Also different hierarchical clustering algorithms are tested. We also play with the PCA and TSNE embeddings of the MNIST dataset.

Building regression model

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

Network Programming using UDP datagram sockets

K Means Clustering - Unsupervised learning

Machine learning using python

Simple K-Means Implementation using python