Publication: K-Means Clustering as a Speciation Method within an Individual-Based Evolving Predator-Prey Ecosystem Simulation
All || By Area || By Year| Title | K-Means Clustering as a Speciation Method within an Individual-Based Evolving Predator-Prey Ecosystem Simulation | Authors/Editors* | Aspinal A., Gras R. |
|---|---|
| Where published* | Lecture Notes in Computer Science |
| How published* | Proceedings |
| Year* | 2010 |
| Volume | 6335 |
| Number | |
| Pages | 318-329 |
| Publisher | |
| Keywords | |
| Link | |
| Abstract |
We present a new method for modeling speciation within a previously created individual-based evolving predator-prey ecosystem simulation. As an alternative to the classical speciation mechanism originally implemented, k-means clustering provides a more realistic method for modeling speciation that, among other things, allows for the recreation of the species tree of life. This discussion introduces the k-means speciation, presents the improvements it provides, and compares the new mechanism versus the traditional method of speciation. |
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