An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
Project description
EVO-CC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
Description: The framework is an open source and cross-platform framework implemented in Python which uses the classification technique with the evolutionary clustering approach provided by the EvoCluster framework. The goal of this framework is to provide a user-friendly and customizable implementation of the classification-based evolutionary clustering which can be utilized by experienced and non-experienced users for different applications. The framework can also be used by researchers who can benefit from the framework for their research studies.
Framework folders and files:
- EvoCluster folder
- Dataset folder
- Classification file
- Examples files
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for evoml.framework-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dbf36ed87ace8f974e5fcee968a0e38821af12f2ee5eb90dd10f50f3cd7cd659 |
|
MD5 | d8eae5dce6d524eb35402a13d84b37f9 |
|
BLAKE2b-256 | 83103bd47644a94a41ad20523eb12f4eff9b92477f765462ff7990f307cd05e3 |