This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.
Original paper

Introduction to the K-Means Clustering Algorithm Based on the Elbow Method

Volume: 1, Issue: 1, Pages: 5 - 8
Published: Oct 22, 2020
Abstract
The K-means clustering algorithm is a commonly used algorithm in the financial field, and it is also an unsupervised learning algorithm. It is characterized as an easy and simple algorithm and is widely used in the fields such as machine learning and stock trading. However, the K-means algorithm also has certain shortcomings. The k value is difficult to determine, and the initial center of the cluster is difficult to find. This article...
Paper Details
Title
Introduction to the K-Means Clustering Algorithm Based on the Elbow Method
Published Date
Oct 22, 2020
Volume
1
Issue
1
Pages
5 - 8
© 2025 Pluto Labs All rights reserved.
Step 1. Scroll down for details & analytics related to the paper.
Discover a range of citation analytics, paper references, a list of cited papers, and more.