Application of the Self-Organizing Mapping and Fuzzy Clustering to Microsatellite Data: How to Detect Genetic Structure in Brown Trout (Salmo trutta) Populations
- 1 January 2000
- book chapter
- Published by Springer Nature
Abstract
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This publication has 17 references indexed in Scilit:
- Data analysis: How to compare Kohonen neural networks to other techniques?Published by Springer Nature ,2005
- Differences between nuclear and mitochondrial introgressions of brown trout populations from a restocked main river and its unrestocked tributaryBiological Journal of the Linnean Society, 1998
- The use of artificial neural networks to predict the presence of small‐bodied fish in a riverFreshwater Biology, 1997
- Intégrité génomique et repeuplements chez la truite commune du versant méditerranéenKnowledge & Management of Aquatic Ecosystems, 1997
- Patternizing communities by using an artificial neural networkEcological Modelling, 1996
- Fuzzy modelling of vegetation from remotely sensed imageryEcological Modelling, 1996
- A nonlinear projection method based on Kohonen's topology preserving mapsIEEE Transactions on Neural Networks, 1995
- Fuzzy Kohonen clustering networksPattern Recognition, 1994
- Post‐glacial colonization of brown trout, Salmo trutta L.: Ldh‐5 as a phylogeographic marker locusJournal of Fish Biology, 1989
- Diversité génétique de la truite communeKnowledge & Management of Aquatic Ecosystems, 1989