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International Journal of Web Applications

Isomorphism of Hypergraphs at an Efficient Clustering Model
Vladislav Vasilev
Faculty of Telecommunications at Technical University of Sofia 8 Kl. Ohridski Blvd, Sofia 1000 Bulgaria
Abstract: In the wireless sensor networks, the link and connectivity issues are major concern. To ensure perfect connectivity and problem-free system, is to use a robust and scalable system which is called as unsupervised learning. In this work, we have used an isomorphism of a particularly hypergraph to arrive at an efficient clustering model. We in this work further calculated the chromatic polynomial and created a chordal graph way.
Keywords: Hypergraph, Isomorphism, Wireless Sensor Networks Isomorphism of Hypergraphs at an Efficient Clustering Model
DOI:https://doi.org/10.6025/ijwa/2022/14/2/35-41
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