Probabilistically sampled and spectrally clustered plant species using phenotypic characteristics.

Shastri, Aditya A; Ahuja, Kapil; Ratnaparkhe, Milind B; Busnel, Yann

Shastri, Aditya A; Ahuja, Kapil; Ratnaparkhe, Milind B; Busnel, Yann.

Afiliación

Shastri AA; Math of Data Science & Simulation (MODSS) Lab, Indian Institute of Technology Indore, Indore, India.
Ahuja K; Math of Data Science & Simulation (MODSS) Lab, Indian Institute of Technology Indore, Indore, India.
Ratnaparkhe MB; ICAR-Indian Institute of Soybean Research, Indore, India.
Busnel Y; Network Systems, Cybersecurity and Digital Law Department, Institut Mines-Telecom Atlantique, Rennes, France.

PeerJ ; 9: e11927, 2021.

Article en En | MEDLINE | ID: mdl-34589292

Palabras clave

Hierarchical clustering; Phenotypic data; Pivotal sampling; Probabilistic sampling; Similarity measures; Spectral clustering; Vector quantization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PeerJ Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

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