The R script was written to perform and compare several versions of cluster algorithms as described in: Seifert, Ritz & Csősz (2013) published in Myrmecological News. The aim is to identify (cryptic) taxa based on numeric data on morphology. The first step is a Linear Discriminant Analysis (LDA) based on subunits (ant nests) independent of any taxon information. Following analysis are Non-Metric Multidimensional Scaling (NMDS) and k-Means clustering. The NMDS scores are also summarized using K-Means. For comparison, k-Means is also run on the nest means (without preceeding LDA). Cluster assignment is summarized in an output file for all three methods.
License
Creative Commons Attribution LicenseFollow AGNES Cluster identification
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of AGNES Cluster identification !