Name
Title | ||
|---|---|---|
Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets. |
Abstract | ||
|---|---|---|
The success of fuzzy clustering heavily relies on the features of the input data. Based on the fact that deep architectures are able to more accurately characterize the data representations in a layer-by-layer manner, this paper proposes a novel feature mapping technique called cascaded hidden-space (CHS) feature mapping and investigates its combination with classical fuzzy c-means (FCM) and fuzzy... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2017.2687407 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Kernel,Clustering algorithms,Switches,Machine learning algorithms,Training data,Clustering methods,Prototypes | Kernel (linear algebra),Fuzzy clustering,Nonlinear system,Pattern recognition,Regression,Feature mapping,Fuzzy logic,Process modeling,Artificial intelligence,Cluster analysis,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
26 | 2 | 1063-6706 |
Citations | PageRank | References |
2 | 0.36 | 28 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Wang | 1 | 152 | 9.49 |
| huan liu | 2 | 36 | 23.08 |
| Xiaohua Qian | 3 | 4 | 3.78 |
| Yizhang Jiang | 4 | 382 | 27.24 |
| Zhaohong Deng | 5 | 647 | 35.34 |
| Shitong Wang | 6 | 1485 | 109.13 |