K$-$Medoids Algorithm as a Variation of K$-$Means

toplet posiat lasosid

As eapiained in ne lecture vides, the K$-$Medalds algorithm is a vanation of the K$-$Means algorithm that addesses some of the K$-$Means aigorithe's inkasions. The K$-$Medoids aigorithm is given by

Randomly serect $\{x_1,$dots,$2_5\}sube\{x_1$dots,$x_4\}$

Perate

Coat$\{\begin{array}{ccc}(s_1,& \text{d}\text{o}\text{t}\text{s}\text{,}& x_k)={\displaystyle \underset{t=1}{\overset{a}{}}}mi{n}_{x1}\\ \text{d}\text{i}\text{s}\text{t}& \{x^{60},& z_j\}\end{array}$

${\displaystyle \underset{z=0}{\overset{?}{}}},0$

is rininal

Pert $21$

m$.-$wis