Digital Library

1. 1. Opera Clustering: K-means on librettos datasets
   Harim Jeong, Joo Hun Yoo, Vol. 23, No. 2, pp. 45-52, Apr. 2022
   10.7472/jksii.2022.23.2.45
   Keywords: Music Analysis, music information retrieval, Natural Language Processing, Embedding, Classification, K-Means Clustering
2. 2. A Case Study: Unsupervised Approach for Tourist Profile Analysis by K-means Clustering in Turkey
   Mustafa Eren Yildirim, Murat Kaya, Ibrahim FurkanInce, Vol. 23, No. 1, pp. 11-17, Feb. 2022
   10.7472/jksii.2022.23.1.11
   Keywords: Tourist Profile Analysis, Unsupervised Approach, K-Means Clustering, Data Mining.
3. 3. A Study on the Clustering method for Analysis of Zeus Botnet Attack Types in the Cloud Environment
   Won-il Bae, Suk-June Choi, Seong-Jin Kim, Hyeong-Cheon Kim, Jin Kwak, Vol. 18, No. 1, pp. 11-20, Feb. 2017
   10.7472/jksii.2017.18.1.11
   Keywords: Cloud computing, K-Means Clustering, Zeus botnet, Openstack
4. 4. A Dynamic Task Distribution approach using Clustering of Data Centers and Virtual Machine Migration in Mobile Cloud Computing
   John Cristopher A. Mateo, Jaewan Lee, Vol. 17, No. 6, pp. 103-112, Dec. 2016
   10.7472/jksii.2016.17.6.103
   Keywords: Cloud computing, Cloudlet, Mobile Cloud Computing, K-Means Clustering