MHB Book Recommendation for Nearest Neighbor Graphs

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SUMMARY

The forum discussion centers on finding literature related to "Cluster Identification in Nearest Neighbor Graphs," which integrates concepts from probability, graph theory, and topology. The user expresses difficulty in locating introductory books that adequately cover k nearest neighbor graphs without being overly simplistic or advanced. Recommendations provided include "Computational Geometry: An Introduction" by Franco P. Preparata and Michael Ian Shamos, and "Algorithms in Combinatorial Geometry" by H. Edelsbrunner. These texts are suggested as suitable resources for understanding the complexities of nearest neighbor graphs.

PREREQUISITES
  • Understanding of k nearest neighbor graphs
  • Familiarity with basic concepts in graph theory
  • Knowledge of probability theory
  • Introduction to topology
NEXT STEPS
  • Research "Computational Geometry: An Introduction" by Franco P. Preparata and Michael Ian Shamos
  • Explore "Algorithms in Combinatorial Geometry" by H. Edelsbrunner
  • Study advanced topics in probability theory related to graph structures
  • Investigate the relationship between topology and graph theory
USEFUL FOR

Researchers, mathematicians, and computer scientists interested in graph theory, particularly those focusing on nearest neighbor algorithms and their applications in computational geometry.

Bingk1
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Hello,

I'm trying to read a paper titled "Cluster Identification in Nearest Neighbor Graphs". It's a mixture of probability, graph theory, and topology. I'm having difficulty interpreting some of the ideas, specially when it comes to k nearest neighbor graphs.
I've been trying to look for a book that is a sort of "introduction" to these types of graphs, but haven't been able to find any. Most are either too basic, or too advanced. Could someone recommend some literature on this subject?

Thanks!

P.S. I have been looking for graph theory books that cover this topic, but it just occurred to me that this topic (which is about graphs) might be better covered by another area of math (maybe statistics/probability), if so, could someone recommend what area of math I should be searching under. Thanks!
 
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Bingk said:
Hello,

I'm trying to read a paper titled "Cluster Identification in Nearest Neighbor Graphs". It's a mixture of probability, graph theory, and topology. I'm having difficulty interpreting some of the ideas, specially when it comes to k nearest neighbor graphs.
I've been trying to look for a book that is a sort of "introduction" to these types of graphs, but haven't been able to find any. Most are either too basic, or too advanced. Could someone recommend some literature on this subject?

Thanks!

P.S. I have been looking for graph theory books that cover this topic, but it just occurred to me that this topic (which is about graphs) might be better covered by another area of math (maybe statistics/probability), if so, could someone recommend what area of math I should be searching under. Thanks!

Hi Bingk, :)

Maybe you will find the following books useful.

Computational Geometry: An Introduction (Monographs in Computer Science): Franco P. Preparata,Michael Ian Shamos: 9780387961316: Amazon.com: Books

Algorithms in Combinatorial Geometry (Eatcs Monographs on Theoretical Computer Science): H. Edelsbrunner,Herbert Edelsbrunner: 9780387137223: Amazon.com: Books

Kind Regards,
Sudharaka.
 

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