Q$13.$ Timeseries data $-$ clustering and distance measurement $($based on table $5)$

a$.$ Cluster the time series given in table $5.$

b$.$ How can you use Euclidean distance in this case

c$.$ Can you replace it with hamming distance? How?

d$.$ How can you detect outliers in this case?

e$.$ Think about Manhattan distance combined with density$-$based clustering. Can you save this data as spatio$-$temporal? Represent this data as spatio$-$temporal data and cluster using spatio$-$temporal approach.