# load test data. You have to install the package jtils:
# devtools::install_github('JTT94/jtils')
chain <-
jtils::unserialize_robject('./test_data/data/test_chain.ser')
cutoff = 15 # cutoff of smallest possible chunk
results = JSD_algorithm(chain, cutoff)
change_points = results$change_points
matrices = results$estimated_matrices
# we could devise some metric of closeness between matrices in order to assess the quality of the algorithm.
original_matrices = jtils::unserialize_robject('./test_data/data/test_tmatrices.ser')
norms = numeric(10)
for (i in 1:10)
{
norms[i] = norm(matrices[[i]][, ] - original_matrices[[i]], type = "F") # simple measure of similarity
}
summary(norms)
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