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.

Project Activity

See All Activity >

License

Creative Commons Attribution License

Follow AGNES Cluster identification

AGNES Cluster identification Web Site

Other Useful Business Software
Get Avast Free Antivirus with 24/7 AI-powered online scam detection Icon
Get Avast Free Antivirus with 24/7 AI-powered online scam detection

Get protection for today’s online threats. Free.

Award-winning antivirus protection, as well as protection against online scams, dangerous Wi-Fi connections, hacked accounts, and ransomware. It includes Avast Assistant, your built-in AI partner, which gives you help with suspicious online messages, offers, and more.
Free Download
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of AGNES Cluster identification !

Additional Project Details

Intended Audience

Science/Research

Registered

2013-02-18