To complete this task, use the dataset given below and the Euclidean distance to measure the similarity between data objects. The dataset represents data about persons$$ healthy lifestyle. Determine the belonging of each data object to a cluster, if K$=2,$ and new centroid values after two iterations of the K$-$Means algorithm, if the initial centroids are as follows:

Centroid Number of trainings per week $($x$1)$ Average volume of liquid consumed per day, litres $($x$2)$ Average walking distance per day, km $($x$3)$

c$142\mathrm{.}74\mathrm{.}1$

c$253\mathrm{.}65\mathrm{.}6$

The dataset:

Person Number of trainings per week $($x$1)$ Average volume of liquid consumed per day, litres $($x$2)$ Average walking distance per day, km $($x$3)$

A $221$

B $42\mathrm{.}55\mathrm{.}3$

C $61\mathrm{.}36\mathrm{.}7$

D $12\mathrm{.}13\mathrm{.}2$

E $30\mathrm{.}51\mathrm{.}5$

F $50\mathrm{.}72\mathrm{.}7$

G $223\mathrm{.}4$

H $41\mathrm{.}66\mathrm{.}5$

I $51\mathrm{.}88$