2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC) 2018
DOI: 10.1109/iceiec.2018.8473568
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Comparative Analysis of Hybrid Clustering Algorithm on Different Dataset

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Cited by 8 publications
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“…In addition, active users have no influence on comments in some case. There are some other categories of users in both types of users, and there is no absolute distinction between the two types of users. In some cases, the two sides can transform into each other. Compared with the k ‐means algorithm [11], the classification of spectral clustering algorithms is more detailed. The spectral clustering algorithm is better than the k ‐means clustering algorithm in processing high‐dimensional data clustering, and it is more advantageous to deal with clustering of sparse data.…”
Section: Experiments and Analysismentioning
confidence: 99%
“…In addition, active users have no influence on comments in some case. There are some other categories of users in both types of users, and there is no absolute distinction between the two types of users. In some cases, the two sides can transform into each other. Compared with the k ‐means algorithm [11], the classification of spectral clustering algorithms is more detailed. The spectral clustering algorithm is better than the k ‐means clustering algorithm in processing high‐dimensional data clustering, and it is more advantageous to deal with clustering of sparse data.…”
Section: Experiments and Analysismentioning
confidence: 99%