A web-based implementation of k-means algorithms
The K-means algorithm has been around for over a century. While a rather simplistic and dated algorithm, it remains widely used and taught till this day. The K-means algorithm requires two inputs for it to be applied onto a data set, the value K, and a proximity measure. Picking the right inputs is...
Saved in:
Main Author: | Lee, Quan |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/5010/1/1801846_LEE_QUAN.pdf http://eprints.utar.edu.my/5010/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pattern discovery using k-means algorithm
by: Ahmed, Almahdi Mohammed, et al.
Published: (2014) -
A near-optimal centroids initialization in K-means algorithm using bees algorithm
by: Mahmuddin, Massudi, et al.
Published: (2009) -
A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
by: Sharifah Sakinah, Syed Ahmad
Published: (2014) -
Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster
by: Wan Maseri, Wan Mohd, et al. -
Implementing RC5 Encrtption Algorithm On a Web Based Medical Cosultation System
by: Khashan, Osama Ahmed Abdelhadi
Published: (2007)