BOOK-CHAPTER
Identifying Multiple Cluster Structures Through Latent Class Models
Giuliano GalimbertiGabriele Soffritti
Year: 2006 Studies in classification, data analysis, and knowledge organization Pages: 174-181 Publisher: Springer Nature
Keywords:
Latent class model Weighting Cluster (spacecraft) Class (philosophy) Computer science Latent variable Perspective (graphical) Data mining Machine learning Artificial intelligence
Metrics
4
Cited By
0.61
FWCI (Field Weighted Citation Impact)
20
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Bayesian Methods and Mixture Models
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Clustering Algorithms Research
Physical Sciences → Computer Science → Artificial Intelligence
Data Mining Algorithms and Applications
Physical Sciences → Computer Science → Information Systems
Related Documents
JOURNAL ARTICLE
Identifying Latent Structures in Restricted Latent Class Models
Journal: Journal of the American Statistical Association Year: 2017 Vol: 113 (523)Pages: 1284-1295
JOURNAL ARTICLE
Identifying Organizational Faultlines With Latent Class Cluster Analysis
Barbara LawrenceMichael J. Zyphur
Journal: Organizational Research Methods Year: 2010 Vol: 14 (1)Pages: 32-57
JOURNAL ARTICLE
Hierarchical Latent Class Models for Cluster Analysis
Journal: Journal of Machine Learning Research Year: 2004 Vol: 5 (6)Pages: 697-723