55 Open source projects that are alternatives of or similar to ClusterR

经典机器学习算法的极简实现

Implementations of machine learning algorithm by Python 3

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Feature extraction by using SITF+BoF.

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

Golang Utilities for Data Analysis

Animated Visualizations of Popular Machine Learning Algorithms

Text Processing for Small or Big Data Files in R

Different clustering approaches applied on different problemsets

⭐ A Python package for optimal 1D k-means clustering.

This VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

machine learning algorithms in Swift

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Efficient similarity search and clustering for Ruby

Cukatify is a music social media project

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

HMM based on KMeans and GMM

A simple machine learning framework written in Swift 🤖

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

🎨 A k-means color scheme generator.

Absolute balanced kdtree for fast kNN search.

Explore high-dimensional datasets and how your algo handles specific regions.

golang package to find the K most dominant/prominent colors in an image

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

A practical guide to topic mining and interactive visualizations

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

gesture recognition toolkit

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Plain python implementations of basic machine learning algorithms

K-Means clustering

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

🎨 Color palette generator from an image using WebAssesmbly and Rust

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

Python Clustering Algorithms

Implementation of feature engineering from Feature engineering strategies for credit card fraud

A clustering tutorial with scikit-learn for beginners.

an tutorial implement of voice conversion using pytorch

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

Rcpp integration for the Ensmallen templated C++ mathematical optimization library

An R package for space-time anomaly detection using scan statistics.

Kernel k Nearest Neighbors in R

Explaining the output of machine learning models with more accurately estimated Shapley values

R Package: Regularized Principal Component Analysis for Spatial Data

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]