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Multivariate clustering analysis

Subcategory: multivariate clustering
Standard reference: Hastie et al. (2001) for clustering methods
Papers: 2 | Mentions: 9

Local Knowledge Graph (38 entities)

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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)

article

Model and remote-sensing-guided experimental design and hypothesis generation for monitoring snow-soil–plant interactions

2024Frontiers in Waterusing
article

Watershed zonation through hillslope clustering for tractably quantifying above-and below-ground watershed heterogeneity and functions

2022Hydrology and Earth System Sciencesusing

Places Where Used

Colorado River

stream1 paper

Gunnison Basin

region1 paper

Gunnison County

county1 paper

Crested Butte

study site1 paper

northern Utah

region1 paper

Sierra Nevada

region1 paper

Rock

ranch1 paper

Colorado front Range

region1 paper

Avery

study site1 paper

East River Watershed

watershed1 paper