cntejas/Exploratory-Analysis-Of-Geolocational-Data
This project involves the use of K-Means Clustering to find the best accommodation for students in any city of your choice by classifying accommodation for incoming students on the basis of their preferences on amenities, budget and proximity to the location.
No commits in the last 6 months.
Stars
11
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cntejas/Exploratory-Analysis-Of-Geolocational-Data"
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.
wq2012/SpectralCluster
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's...
mqcomplab/MDANCE
MDANCE: O(N) clustering for molecular dynamics. Process 1.5M frames in 40min. 8 specialized algorithms.