Skip to main content

Spectral Bridges clustering algorithm

Project description

Spectral Bridges

Spectral Bridges is a novel and scalable clustering algorithm that draws inspiration from SVM's margin concept, using k-means clustering and spectral clustering based on Laplacian matrices by first creating a Voronoi tesselation and subsequently merging cells according to a connectivity measure. This package provides efficient clustering solutions for large datasets.

Features

  • Spectral Bridges: Combines k-means and spectral clustering with efficient affinity matrix calculation to provide robust clustering results.

Installation

You can install the package via pip:

pip install spectral-bridges

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spectral_bridges-0.1.1.tar.gz (4.0 kB view hashes)

Uploaded Source

Built Distribution

spectral_bridges-0.1.1-py3-none-any.whl (4.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page