anamabo/Equal-Size-Spectral-Clustering
A modification of the spectral clustering algorithm that imposes constraints on cluster sizes.
When you need to group data points into categories and want each category to have roughly the same number of items, this tool helps you do it. You provide your data and specify how many groups you want, and it outputs your data with each point assigned to an equally-sized cluster. This is useful for data analysts, researchers, or anyone needing fair and balanced data segmentation.
No commits in the last 6 months.
Use this if you need to divide a dataset into a predefined number of groups, ensuring that each group contains a similar quantity of data points.
Not ideal if the natural groupings in your data are inherently unequal in size or if you don't require balanced cluster distribution.
Stars
24
Forks
7
Language
Python
License
—
Category
Last pushed
Dec 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anamabo/Equal-Size-Spectral-Clustering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
panagiotisanagnostou/HiPart
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
erdogant/clusteval
Clusteval provides methods for unsupervised cluster validation
mqcomplab/MDANCE
MDANCE: O(N) clustering for molecular dynamics. Process 1.5M frames in 40min. 8 specialized algorithms.