SurvivalClusteringTree-package

SurvivalClusteringTree

tools:::Rd_package_description("SurvivalClusteringTree")

package

An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering algorithms to define clusters. Details about this method is described in <https://github.com/luyouepiusf/SurvivalClusteringTree>.

Lu You

Clustering Analysis Using Survival Tree and Forest Algorithms

Lauric Ferrat

Hemang Parikh

Yanan Huo

Yuting Yang

Jeffrey Krischer

Maria Redondo

Richard Oram

Andrea Steck

SurvivalClusteringTree-package function

tools:::Rd_package_indices("SurvivalClusteringTree")

Package Content

tools:::Rd_package_author("SurvivalClusteringTree")

Author

tools:::Rd_package_maintainer("SurvivalClusteringTree")

SurvivalClusteringTree-package: tools:::Rd_package_title("SurvivalClusteringTree")

Description

Arguments

Package Content

Author

Maintainer