K-means Clustering Algorithm based on Improved Density Peak

Author:

Wei Debin1ORCID,Zhang Zhenxing1ORCID

Affiliation:

1. Key Laboratory of Communication and Network, Dalian University, China

Publisher

ACM

Reference25 articles.

1. From clustering to clustering ensemble selection: A review

2. Roul RK , Sahay SK. Semi-supervised clustering using seeded-kMeans in the feature space of ELM[C]// India Conference . IEEE , 2017 : 1-6. Roul RK, Sahay SK. Semi-supervised clustering using seeded-kMeans in the feature space of ELM[C]// India Conference. IEEE, 2017:1-6.

3. Fan C , Zhang T , Yang Z, A Text Clustering Algorithm Hybriding Invasive Weed Optimization with K-Means[C]// Ubiquitous Intelligence & Computing & IEEE Intl Conf on Autonomic & Trusted Computing & IEEE Intl Conf on Scalable Computing & Communications & Its Associated Workshops. IEEE , 2016: 1333- 1338. Fan C, Zhang T, Yang Z, A Text Clustering Algorithm Hybriding Invasive Weed Optimization with K-Means[C]// Ubiquitous Intelligence & Computing & IEEE Intl Conf on Autonomic & Trusted Computing & IEEE Intl Conf on Scalable Computing & Communications & Its Associated Workshops. IEEE, 2016: 1333- 1338.

4. The MinMax k-Means clustering algorithm

5. k -means clustering with outlier removal

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