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# Define a function to implement the Minimum Violators Algorithm minimum _ violators _ algorithm < - function ( components , roots, Ts , K

# Define a function to implement the Minimum Violators Algorithm
minimum_violators_algorithm <- function(components, roots, Ts, K, g){
# Step 1: Create a singleton cluster for each component
clusters <- lapply(components, function(comp) list(components = comp))
# Initialize set Q with roots of all clusters except the one containing the final product
Q <- setdiff(roots, tail(roots,1))
# Initialize set r with the root of the final product cluster
r <- tail(roots,1)
while (length(Q)>0){
# Step 2: Find a cluster i in Q with minimal K(Ci)/ g(Ci)
min_ratio <- Inf
min_cluster <- NULL
for (i in Q){
Ci <- clusters[[i]]
ratio <- K(Ci)/ g(Ci)
if (ratio < min_ratio ||(ratio == min_ratio && length(Ci$components)< length(min_cluster$components))){
min_ratio <- ratio
min_cluster <- Ci
}
}
# Step 3: Remove i from Q
Q <- setdiff(Q, which(roots == min_cluster$components[[1]]))
# Check the condition K(Ci')/ g(Ci')>= K(Ci)/ g(Ci)
if (K(min_cluster)/ g(min_cluster)>= K(clusters[[r]])/ g(clusters[[r]])){
# Add i to r
r <- c(r, min_cluster$components[[1]])
} else {
# Collapse cluster i into cluster r
clusters[[r]]$components <- c(clusters[[r]]$components, min_cluster$components)
}
}
# Output the optimal clusters
optimal_clusters <- lapply(r, function(root) clusters[[root]])
return(optimal_clusters)
}

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