Vector Quantized Spectral Clustering Applied to Whole Genome Sequences of Plants

We develop a Vector Quantized Spectral Clustering (VQSC) algorithm that is a combination of spectral clustering (SC) and vector quantization (VQ) sampling for grouping genome sequences of plants. The inspiration here is to use SC for its accuracy and VQ to make the algorithm computationally cheap (t...

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Detalles Bibliográficos
Autores principales: Shastri, Aditya A, Ahuja, Kapil, Ratnaparkhe, Milind B, Shah, Aditya, Gagrani, Aishwary, Lal, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435876/
https://www.ncbi.nlm.nih.gov/pubmed/30936678
http://dx.doi.org/10.1177/1176934319836997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435876/
https://www.ncbi.nlm.nih.gov/pubmed/30936678
http://dx.doi.org/10.1177/1176934319836997

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