Self-organizing map for symbolic data
From MaRDI portal
Publication:695253
DOI10.1016/j.fss.2012.04.006zbMath1254.68234OpenAlexW2151159184MaRDI QIDQ695253
Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen
Publication date: 20 December 2012
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2012.04.006
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fuzzy \(K\)-means clustering algorithms for interval-valued data based on adaptive quadratic distances
- On the rate of convergence in topology preserving neural networks
- New clustering methods for interval data
- Dynamic clustering for interval data based on \(L_2\) distance
- Partitional clustering algorithms for symbolic interval data based on single adaptive distances
- On the stationary state of Kohonen's self-organizing sensory mapping
- Self-organized formation of topologically correct feature maps
- Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors
- A survey of fuzzy clustering
- Fuzzy clustering algorithms for mixed feature variables.
- Multivalued type dissimilarity measure and concept of mutual dissimilarity value for clustering symbolic patterns
- Fast algorithm and implementation of dissimilarity self-organizing maps
- The dynamic clusters method in nonhierarchical clustering
- Clustering and its validation in a symbolic framework
- Suppressed fuzzy c-means clustering algorithm
- Brief overview of symbolic data and analytic issues
- Far beyond the classical data models: symbolic data analysis
This page was built for publication: Self-organizing map for symbolic data
