HiPart
HiPart: Hierarchical Divisive Clustering Toolbox - Published in JOSS (2023)
Local clustering
Local clustering - Published in JOSS (2018)
ClusterAnalysis
Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)
https://github.com/beuth-erdelt/benchmark-experiment-host-manager
This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.
https://github.com/cran-task-views/cluster
CRAN Task View: Cluster Analysis & Finite Mixture Models
gap-stat
Dynamically get the suggested clusters in the data for unsupervised learning.
https://github.com/ganweisoft/gateway
Gateway is a high-performance, centralized communication and scheduling module for various device plugins. It uniformly converts heterogeneous data into standardized models and delivers core functionalities such as real-time data storage, alarm triggering, linkage control, and task planning.
scanstatistics
scanstatistics: space-time anomaly detection using scan statistics - Published in JOSS (2018)
https://github.com/benhid/314-swarm
DIY Raspberry Pi (Zero) cluster with Docker Swarm
clustar
A python package for processing and analyzing protostars/protoplanetary disks in FITS images.
tomobear
TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.
https://github.com/hypershell/hypershell
Cross-platform, high-throughput computing utility for processing shell commands over a distributed, asynchronous queue.
splineomics
Timeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. The obtained hits can be clustered based on the spline shape and then used for an overrepresentation (ORA) analysis.The R package SplineOmics streamlines this whole process and generates reports
stm-cluster-heightzer
Stm cluster heights resizer (stm-cluster-heightzer) is a class that finds peaks of clusters (high bumps) in a scanning tunneling microscope (STM) image(data) and if necessary corrects the heights of the individual clusters to the surrounding surface.
MaterialPointSolver
🧮 High-performance Material Point Method (MPM) Solver in Julia.