364 Open source projects that are alternatives of or similar to k-means-quantization-js

A fun study of some heuristics for the Travelling Salesman Problem.

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Machine Learning Course @ Santa Clara University

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

k-means clustering in Ruby

Pytorch Deep Clustering with Convolutional Autoencoders implementation

Urbica React Cluster Component for Mapbox GL JS

David Mackay's book review and problem solvings and own python codes, mathematica files

TrajSuite is a cross-platform Java application that provides a suite of trajectory data-mining and visualisation features.

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

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

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

FedGroup, A Clustered Federated Learning framework based on Tensorflow

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

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

Analysis kit for large-scale structure datasets, the massively parallel way

MongoDB sharded cluster

VOSviewer Online is a tool for network visualization. It is a web-based version of VOSviewer, a popular tool for constructing and visualizing bibliometric networks.

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Proto Actor - Ultra fast distributed actors

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

The OpenSVC node agent

Golang Utilities for Data Analysis

Sub-plugin for Leaflet.markercluster plugin; brings compatibility with Layers Control and other plugins

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

Visually cluster your emails by sender, domain, and more to identify waste

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

Beta Machine Learning Toolkit

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

基于tensorflow搭建的神经网络recursive autuencode，用于实现句子聚类

Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

The All ▲lgorithms documentation website.

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

An implementation of a Quartz Scheduler JobStore using Hazelcast distributed Collections

A JavaScript library to allocate and optimize financial portfolios.

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

A python package to assess cluster tendency

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Natural Language Processing for Lithuanian language

SSH distribution for erlang

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

A python-based time series aggregation module (tsam) which can be used to reduce the number of time steps using typical periods or by decreasing the temporal resolution

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Resolver Sudoku de genina.com

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Create and manage clusters for large amounts of markers

🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

This repository is a recommended track, designed to get started with Machine Learning.

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY