Creative Data Mining : Documentation of the teaching results from the Spring Semester 2017

2. Cluster
Figure 4 cluster analysis
Due to the limitation of the amount of data set, the results of cluster analysis are not very
significant. But we can still get the similar semi-quantitative result that low side walk fraction
will result in more negative feeling, while the pedestrian is more likely to have a positive
Figure
evaluation
4 cluster
for those
analysis
points which have high side walk fraction.
Due In additional, to the limitation there is of also the amount some obvious of data cluster set, the between results of parking cluster lane analysis fraction are not and very secure. significant. It
But
seems
we
that
can
higher
still get
parking
the similar
lane
semi-quantitative
fraction leads to
result
an insecure
that low
feeling
side walk
for pedestrian.
fraction will result in more
negative feeling, while the pedestrian is more likely to have a positive evaluation for those points
which If the experiment have high side could walk have fraction. more participants and cover more streets, cluster analysis will
have more credible conclusion.
In additional, there is also some obvious cluster between parking lane fraction and secure. It seems
that higher parking lane fraction leads to an insecure feeling for pedestrian. If the experiment could
have more participants and cover more streets, cluster analysis will have more credible conclusion.
Creative Data Mining | Spring 2017 | Final Projects 5
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New Methods in Creative Data Mining | Final project documentation