Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation.
Raphael C. BritoHansenclever de F. BassaniPublished in: IJCNN (2018)
Keyphrases
- self organizing maps
- word segmentation
- motif discovery
- input data
- biological sequences
- dna sequences
- neural network
- language independent
- n gram
- binding sites
- document analysis
- text classification
- unsupervised learning
- pattern discovery
- data mining tasks
- multiobjective optimization
- data sets
- image processing
- cross lingual
- text retrieval
- computer vision
- distance measure
- pattern recognition
- similarity measure
- clustering algorithm