KNMCluster

버전 1.0.0.0 (2.29 KB) 작성자: Timothy Felty
Calculates means and associated clusters from input data.
3.7
(3)
다운로드 수: 3.1K
업데이트 날짜: 2008/1/1

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Usage: [means,c]=KNMCluster(k,indata)

KNMCluster is an implementation of the K-means clustering algorithm. It takes inputs k and indata. k is the initial guess of the number of clusters.

indata is the aggregate data that you want to put into clusters.

The returned value "means" are the eturned means of the final clusters.

c is a structure with fields Clust1, Clust2, and so on for each of the k means.

Notes: This program makes use of Sara Silva's program shuffle found here on Mathworks. I would like to thank her for this nice little utility, it saved me some time which is always nice.

Tim Felty, fistandantilus1@hotmail.com

인용 양식

Timothy Felty (2024). KNMCluster (https://www.mathworks.com/matlabcentral/fileexchange/6291-knmcluster), MATLAB Central File Exchange. 검색됨 .

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개발 환경: R2006a
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Help Center 및 MATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기
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버전 게시됨 릴리스 정보
1.0.0.0

Refactored the code to handle more dimensions, also allows for more than 6 dimensions now.