Detail publikace

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques

Originální název

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques

Anglický název

Classification of Spectra of Emission Line Stars Using Machine Learning Techniques

Jazyk

en

Originální abstrakt

The paper deals with classification and clustering of emission-line spectra of Be stars using discrete wavelet transform (DWT), PCA, and support vector machines (SVM).

Anglický abstrakt

The paper deals with classification and clustering of emission-line spectra of Be stars using discrete wavelet transform (DWT), PCA, and support vector machines (SVM).

BibTex


@article{BUT111438,
  author="Pavla {Vrábelová} and Petr {Škoda} and Jaroslav {Vážný}",
  title="Classification of Spectra of Emission Line Stars Using Machine Learning Techniques",
  annote="The paper deals with classification and clustering of emission-line spectra of Be
stars using discrete wavelet transform (DWT), PCA, and support vector machines
(SVM).",
  address="NEUVEDEN",
  chapter="111438",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="3",
  volume="11",
  year="2013",
  month="december",
  pages="265--273",
  publisher="NEUVEDEN",
  type="journal article - other"
}