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

You Might Also Like
Top-Rated Free CRM Software Icon
Top-Rated Free CRM Software

216,000+ customers in over 135 countries grow their businesses with HubSpot

HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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