We show how these planning representations form four thematic value clusters concerning urban public space, namely leisure play, identity unity, power organization and unruliness change.
Specifically, areas with positive 'solution values' belongs to high value clusters; areas with negative 'solution values' belongs to low value clusters; and areas with 'solution values' of zero are those outside the clusters.
In general, the students were able to describe the plots of the type they had created, noting the plot shape and identifying value clusters and outliers.
Several useful extremes of the sampled sequence like the kth largest value, clusters of exceedances over a threshold, and first hitting time of a large value are investigated.
Finally, we review the students' retention and transfer of variation and distribution, including describing plots and their shape and identifying value clusters and outliers.
The successful clusters containing several Jamu related to the same disease might be useful for finding main ingredient plant for that disease and the lower matching score value clusters will be associated with varying plants which might be supporting ingredients.
