.png){kind=icon}
返回
Pattern Clustering With Statistical Methods Using a DNA-Based Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1109/TNB.2012.2190618.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Clustering is commonly exploited in engineering, management, and science fields with the objective of revealing structure in pattern data sets. In this article, through clustering we construct meaningful collections of information granules (clusters). Although the underlying goal is obvious, its realization is fully challenging. Given their nature, clustering is a well-known NP-complete problem. The existing algorithms commonly produce some suboptimal solutions. As a vehicle of pattern clustering, we discuss in this article how to use a DNA-based algorithm. We also discuss the details of encoding being used here with statistical methods combined with the DNA-based algorithm for pattern clustering.
Keyword:
DNA-based algorithm
ordering method
pattern clustering
splicing operation
statistical method
期刊
IF:
4.4
论文数:
1.4K
被引数:
2.5K
机构
查看更多机构
引用论文
.png){kind=icon}
分享收藏
RENAL OUTCOMES OF EMPAGLIFLOZIN IN PATIENTS WITH HEART FAILURE: A SYSTEMATIC REVIEW AND META-ANALYSIS恩格列净在心力衰竭患者中的肾脏结局：一项系统评价和Meta分析
PREAI
分享收藏分享收藏分享收藏Quantum algorithms for biomolecular solutions of the satisfiability problem on a quantum machine
PREAI
分享收藏 没有更多内容