Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation.
Raphael C. BritoHansenclever de F. BassaniPublished in: CoRR (2019)
Keyphrases
- self organizing maps
- word segmentation
- motif discovery
- input data
- biological sequences
- neural network
- unsupervised learning
- dna sequences
- n gram
- pattern discovery
- language independent
- k means
- multiobjective optimization
- language modeling
- data mining tasks
- binding sites
- data sets
- data mining algorithms
- document analysis
- cross lingual
- image processing
- feature extraction
- computational biology
- principal component analysis
- text classification