✦ LIBER ✦

Using evolutionary algorithms for model-based clustering

✍ Scribed by Andrews, Jeffrey L.; McNicholas, Paul D.

Book ID: 120279901
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 207 KB
Volume: 34
Category: Article
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2013.02.008

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Survey of Evolutionary Algorithms for

A Survey of Evolutionary Algorithms for Clustering

✍ Hruschka, E.R.; Campello, R.J.G.B.; Freitas, A.A.; de Carvalho, A.C.P.L.F. 📂 Article 📅 2009 🏛 IEEE 🌐 English ⚖ 378 KB

Graphical model construction based on ev

Graphical model construction based on evolutionary algorithms

✍ Youlong Yang; Yan Wu; Sanyang Liu 📂 Article 📅 2006 🏛 South China University of Technology and Academy o 🌐 English ⚖ 207 KB

Model-based clustering using S-PLUS

✍ Morven Leese; Sabine Landau 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 247 KB

## Abstract Cluster analysis can be used to identify homogenous subgroups in many fields, including psychology and psychiatry. However, most clustering methods implemented in general‐purpose statistical packages are heuristic and can be criticized in principle for their lack of an underlying statis

Data Clustering: Theory, Algorithms, and

Data Clustering: Theory, Algorithms, and Applications || 11. Graph-Based Clustering Algorithms

✍ Gan, Guojun; Ma, Chaoqun; Wu, Jianhong 📂 Article 📅 2007 🏛 Society for Industrial and Applied Mathematics ⚖ 113 KB

Bearing parameter identification of roto

Bearing parameter identification of rotor–bearing system using clustering-based hybrid evolutionary algorithm

✍ Yong-Han Kim; Bo-Suk Yang; Andy C. C. Tan 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 663 KB

A word alignment model based on multiobj

A word alignment model based on multiobjective evolutionary algorithms

✍ Yidong Chen; Xiaodong Shi; Changle Zhou; Qingyang Hong 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 450 KB

translation (SMT) Word alignment a b s t r a c t Word alignment is a key task in statistical machine translation (SMT). This paper presents a novel model for this task. In this model, word alignment is considered as a multiobjective optimization problem and solved based on the non-dominated sorting