A hybridized approach to data clustering

By Yi-Tung Kao, Erwie Zahara, I-Wei Kao. Expert systems with applications, 2008

358 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/3ea50dc8c2765e02f0b2f93cd7167457034b5b79

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dantong Ouyang
2. Taher Niknam
3. Jiaxu Ning
4. Babak Amiri
5. Changsheng Zhang
6. Abdolreza Hatamlou

In Biomedical Engineering

1. Dantong Ouyang
2. Taher Niknam
3. Jiaxu Ning
4. Babak Amiri
5. Changsheng Zhang

Citations in the corpus

• An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis (2010, methodology): “Traditional clustering algorithms can be divided into two main categories: hierarchical and partitional [1–3].”
• An artificial bee colony approach for clustering (2010, methodology): “The particle swarm optimization which simulates bird flocking was used for clustering by Kao, Zahara, and Kao (2008).”