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K-Mean Clustering
by
Xi Chen
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 47 |
| Year of Publication: 2020 |
| Authors: Xi Chen |
10.5120/ijca2020919937
|
Xi Chen . K-Mean Clustering. International Journal of Computer Applications. 177, 47 ( Mar 2020), 24-27. DOI=10.5120/ijca2020919937
@article{
10.5120/ijca2020919937,
author = {
Xi Chen
},
title = { K-Mean Clustering },
journal = {
International Journal of Computer Applications
},
issue_date = { Mar 2020 },
volume = { 177 },
number = { 47 },
month = { Mar },
year = { 2020 },
issn = { 0975-8887 },
pages = {
24-27
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume177/number47/31225-2020919937/
},
doi = { 10.5120/ijca2020919937 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:48:53.269931+05:30
%A Xi Chen
%T K-Mean Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 47
%P 24-27
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, I apply K-mean clustering method to test the validity of Bank notes by separating notes in the real or fake group automatically with Python 3 in the Jupyter Lab.
References
- Khan, Muhammad Rizwan. “K Means Clustering Algorithm & Its Application.” Medium, Data Driven Investor, 12 Oct. 2018, https://medium.com/datadriveninvestor/k-means-clustering-algorithm-its-application-ff9e97297e6e.
- “k-Means Advantages and Disadvantages | Clustering in Machine Learning.” Google, Google, https://developers.google.com/machinelearning/clustering/algorithm/advantages-disadvantages.
Index Terms
Computer Science
Information Sciences
Keywords