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Seeding and Harvest: A Framework for Unsupervised Feature Selection Problems
Feature selection, also known as attribute selection, is the technique of selecting a subset of relevant features for building robust object models. It is becoming more and more important for large-scale sensors applications with AI capabilities. The core idea of this paper is derived from a straigh...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574678/ https://www.ncbi.nlm.nih.gov/pubmed/23271599 http://dx.doi.org/10.3390/s130100292 |