K Means clustering Example.pdf

K means clustering

1. e)

K- means clustering

means clustering, the given

per into k-clustors,

the simdarity of the data

P 2: Coleulate the distance betwe

cach. data point aj and each cluster
centers Y,

£p3: Assion each dala point a; to
the cluster cts % gor. which |
the distance a; Vell is minimum, |

Step 4: Recalewlate each cluster

center by
toki the. x

average. of cluster’s dain pit

Step 5: Repeat nom sep a to steps
until the aecalewloted cluster centers
AL Some. as Previous 04 No

reasstanment of datapoints happend:

2. いい を 호
性 5
Distance between data poin
We as that each. data paint à

dimensional vector

he distance between two data points

is defined os

A TR 4 Om”

3. e

the cluster

Assigned
tot

5. ©