kmeans_cluster_qecdf: Function to Perform K-Means Clustering on Quantile Empirical...

In pintervals: Model Agnostic Prediction Intervals

Function to Perform K-Means Clustering on Quantile Empirical Cumulative Distribution Functions (qECDFs) of Non-Conformity Scores

Description

Function to Perform K-Means Clustering on Quantile Empirical Cumulative Distribution Functions (qECDFs) of Non-Conformity Scores

Usage

kmeans_cluster_qecdf(ncs, class_vec, q = seq(0.1, 0.9, by = 0.1), m)

Arguments

ncs	Vector of non-conformity scores
class_vec	Vector of class labels
q	Quantiles to use for the qECDFs, default is a sequence from 0.1 to 0.9 in steps of 0.1
m	Number of clusters to form

Value

A list of clusters, where each element is a vector of class labels assigned to that cluster

pintervals documentation built on March 3, 2026, 5:06 p.m.