Similarity studies using statistical and genetical methods

Dorota Bielińska-Wąż, Piotr Wąż, Subhash C. Basak

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


This paper aims at demonstrating the applicability of statistical spectroscopy and genetic algorithms to the similarity studies. Statistical moments of the intensity distributions are used as a basis for defining similarity distances between pairs of model spectra. Model spectrum is taken as a sum of two Gaussian distributions characterized by different parameters. As a result, dissimilarity maps are presented.

Original languageEnglish (US)
Pages (from-to)1003-1013
Number of pages11
JournalJournal of Mathematical Chemistry
Issue number4
StatePublished - Nov 2007

Bibliographical note

Funding Information:
This work has been supported by Ministry of Education and Science, grant no 2 PO3B 033 25.


  • Data mining
  • Genetic algorithms
  • Molecular similarity
  • Statistical theory of spectra

Fingerprint Dive into the research topics of 'Similarity studies using statistical and genetical methods'. Together they form a unique fingerprint.

Cite this