aliasgharheidaricom/Polar-Lights-Optimizer-Algorithm-and-Applications-in-Image-Segmentation-and-Feature-Selection
Polar Lights Optimizer (PLO) introduces unique strategies based on the aurora phenomenon, using gyration motion for local exploitation and aurora oval walk for global exploration.
The Polar Lights Optimizer (PLO) helps researchers and engineers improve how they analyze images and select important data points. It takes raw image data or datasets with many features and identifies key areas in images or the most relevant features in a dataset. This is for scientists, medical imaging specialists, and data analysts who need to optimize complex problems like segmenting medical images or refining feature sets for machine learning.
No commits in the last 6 months.
Use this if you need an advanced optimization algorithm to precisely segment regions in images, especially medical images, or to perform highly effective feature selection on complex datasets.
Not ideal if you are looking for a simple, off-the-shelf image processing filter or a basic feature ranking tool, as this is a sophisticated optimization algorithm requiring some expertise.
Stars
7
Forks
1
Language
MATLAB
License
MIT
Category
Last pushed
Sep 03, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aliasgharheidaricom/Polar-Lights-Optimizer-Algorithm-and-Applications-in-Image-Segmentation-and-Feature-Selection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
alteryx/featuretools
An open source python library for automated feature engineering
cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
abess-team/abess
Fast Best-Subset Selection Library
abhayspawar/featexp
Feature exploration for supervised learning