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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Computational analysis for eccentric neighborhood Zagreb indices and their significance
Hanan Ahmed1,2, Anwar Saleh3, Rashad Ismail4
1Department of Mathematics, Yuvaraja's College, University of Mysore, Mysuru, India.
Abstract:
In this paper, a novel eccentric neighborhood degree-based topological indices, termed eccentric neighborhood Zagreb indices, have been conceptualized and its discriminating power investigated with regard to the predictability of the boiling point of the chemical substances. The discriminating power of the eccentric neighborhood Zagreb indices was compared with that of Wiener and eccentric connectivity indices. Some explicit results for those new indices for some graphs and graph operations such as join, disjunction, composition, and symmetric difference.
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