Metadata-Version: 2.1
Name: kMeansBCMAssessment-cwildenb
Version: 0.3
Summary: A Kmeans implementation using only NumPy
Home-page: https://github.com/cwilden/kMeans/blob/master/kMeans.py
Author: Chelsey Wildenborg
Author-email: wildenborgchelsey@gmail.com
License: UNKNOWN
Description: K means clustering is often used as an unsupervised data-analytics algorithm meant to find the ideal number of possible classes in a given dataset.
        
        This project implements a k-means clustering algorithm pipeline that takes in dataset file(s) such as the one found in the dataset folder and computes the best K for each dataset and outputs into another text file the file name followed by the estimated K for each one.
        
        Allowed only to use numpy package, all other packages are prohibited. Each line in the dataset file represent 1, n dimensional datapoint.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
