Relations frequency hypermatrices in mutual, conditional, and joint entropy‐based information indices


Abstract:

Graph‐theoretic matrix representations constitute the most popular and significant source of topological molecular descriptors (MDs). Recently, we have introduced a novel matrix representation, named the duplex relations frequency matrix, F, derived from the generalization of an incidence matrix whose row entries are connected subgraphs of a given molecular graph G. Using this matrix, a series of information indices (IFIs) were proposed. In this report, an extension of F is presented, introducing for the first time the concept of a hypermatrix in graph‐theoretic chemistry. The hypermatrix representation explores the n‐tuple participation frequencies of vertices in a set of connected subgraphs of G. In this study we, however, focus on triple and quadruple participation frequencies, generating triple and quadruple relations frequency matrices, respectively. The introduction of hypermatrices allows us to redefine the …

Año de publicación:

2013

Keywords:

  • 2-Furylethylene derivative
  • QSPR study
  • Variability analysis
  • physico-chemical property
  • hypermatrix
  • relations frequency matrix
  • Information index

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Other

Estado:

Acceso abierto

Áreas de conocimiento:

  • Visualización de información
  • Optimización matemática

Áreas temáticas de Dewey:

  • Conocimiento
  • Ciencias de la computación
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 9: Industria, innovación e infraestructura
  • ODS 12: Producción y consumo responsables
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 3: Salud y bienestar
  • ODS 4: Educación de calidad
Procesado con IAProcesado con IA