Multivariate clustering analysis

Local Knowledge Graph (38 entities)

Knowledge graph centered on Multivariate clustering analysis with 38 nodes and 123 connections. Top connected: leaf water content, Crested Butte, evapotranspiration, carbon cycling, Watershed zonation through hillslope clustering fo.

Description

Applies multiple clustering algorithms (K-means, hierarchical clustering, Gaussian mixture models) to hillslope feature vectors to identify watershed zones with similar characteristics. Uses model selection criteria to determine optimal number of clusters.

Typical Equipment

• R software with kmeans function
• hclust function
• mclust function

Output Measurements

• zone assignments
• cluster centers
• silhouette scores
• BIC values

Papers Using This Protocol (2)

Places Where Used