Entropy and Clustering Information Applied to sEMG Classification.
Luiz J. L. BarbosaOtávio NogueiraVinícius O. SilvaPaulo V. P. CottaFernando V. G. de SouzaMichael D. C. de AraujoPedro H. G. InazawaAlberto López DelisAdson F. da RochaPublished in: EMBC (2020)
Keyphrases
- information sources
- clustering algorithm
- pattern classification
- preprocessing
- hierarchical clustering
- contextual information
- density estimation
- data mining
- cluster analysis
- information theoretic
- classification method
- classification algorithm
- spatial information
- text classification
- mutual information
- feature set
- supervised learning
- classification accuracy
- domain knowledge
- pairwise
- training set
- pattern recognition
- feature extraction