Data clustering with cluster size constraints using a modified k-means algorithm

N Ganganath, CT Cheng, KT Chi - … International Conference on …, 2014 - ieeexplore.ieee.org
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …
被引用次数：106 相关文章

Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm

N Ganganath, CT Cheng, KT Chi - … on Cyber-Enabled Distributed Computing and … - infona.pl
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …
[PDF] core.ac.uk

[PDF][PDF] Data Clustering with Cluster Size Constraints Using a Modified k-means Algorithm

N Ganganath, CT Cheng, KT Chi - core.ac.uk
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …

Data Clustering with Cluster Size Constraints Using a Modified k-means Algorithm

N Ganganath, CT Cheng… - … Conference on Cyber …, 2014 - scholars.cityu.edu.hk
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …

Data clustering with cluster size constraints using a modified k-means algorithm

N Ganganath, CT Cheng… - … Conference on Cyber …, 2014 - research.polyu.edu.hk
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …

Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm

N Ganganath, CT Cheng, CK Tse - Proceedings of the 2014 International …, 2014 - dl.acm.org
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …

Data clustering with cluster size constraints using a modified k-means algorithm

N Ganganath, CT Cheng, CK Tse - 2014 - ira.lib.polyu.edu.hk
Tse, CK Issue Date: 2014 Source: 2014 International Conference on Cyber-Enabled
Distributed Computing and Knowledge Discovery (CyberC), 13-15 Oct. 2014, Shanghai …

Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm

N Ganganath, CT Cheng, KT Chi - 2014 International Conference on …, 2014 - computer.org
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …

[引用][C] Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm

N Ganganath, CT Cheng, KT Chi - 2014 International Conference on …, 2014 - cir.nii.ac.jp
Data Clustering with Cluster Size Constraints Using a Modified K-Means Algorithm | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
[PDF] core.ac.uk

[PDF][PDF] Data Clustering with Cluster Size Constraints Using a Modified k-means Algorithm

N Ganganath, CT Cheng, KT Chi - core.ac.uk
Data clustering is a frequently used technique in finance, computer science, and
engineering. In most of the applications, cluster sizes are either constrained to particular …