IEEE

Unsupervised K-Means Clustering Algorithm

Abstract: The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised ...
Scientific Research Publishing

Clustering Countries on COVID-19 Data among Different Waves Using K-Means Clustering ()

The COVID-19 pandemic has caused an unprecedented spike in confirmed cases in 230 countries globally. In this work, a set of data from the COVID-19 coronavirus outbreak has been subjected to two ...
IEEE

Improved K-Means Text Clustering Algorithm Based on BERT and Density Peak

Abstract: Since the K-Means algorithm was proposed, it has been widely concerned by researchers. Its advantage lies in its simplicity and efficiency, but it also has shortcomings. Aiming at the ...
GitHub

k-means-implementation-in-python

This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy ...
Scientific Research Publishing

A State of Art Analysis of Telecommunication Data by k-Means and k-Medoids Clustering ...

PG and Research Department of Computer Science, D. G. Vaishnav College, Chennai, India. Data Mining (DM) is a convenient way of extracting patterns, which represents knowledge implicitly stored in ...