Understanding Domain Knowledge in Initialization Method for K-Mean Clustering Algorithm in Medical Images-Reference-Cited by-同舟云学术

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Understanding Domain Knowledge in Initialization Method for K-Mean Clustering Algorithm in Medical Images

Published:2022 Issue: Volume: Page:805-817
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Tan Xiao Jian^ORCID,Mustafa Nazahah,Mashor Mohd Yusoff,Ab Rahman Khairul Shakir,Wan Muhamad Wan Zuki Azman,Leow Wai Zhe,Cheor Wai Loon,Oung Qi Wei

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8690-0_71

Reference32 articles.

1. Jain AK, Murty MN, Flynn PJ (1999) Data clustering: a review. ACM Comput Surv 31(3):264–323

2. Jain AK (2010) Data clustering: 50 years beyond k-means. Pattern Recogn Lett 31(8):651–666

3. Abdullah D, Susilo S, Ahmar AS et al (2021) The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data. Qual Quant

4. Adnan RM, Khosravinia P, Karimi B, Kisi O (2021) Prediction of hydraulics performance in drain envelopes using Kmeans based multivariate adaptive regression spline. Appl Soft Comput 100:107008

5. Ghassemi Tari F, Hashemi Z (2018) Prioritized K-mean clustering hybrid GA for discounted fixed charge transportation problems. Comput Ind Eng 126:63–74

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