UNIT-5
,Understand K Means Clustering
,-Means Clustering is an Unsupervised Learning algorithm,
which groups the unlabeled dataset into different clusters.
Here K defines the number of pre-defined clusters that need
to be created in the process, as if K=2, there will be two
clusters, and for K=3, there will be three clusters, and so on.
, • Definition: It groups the data points based on
their similarity or closeness to each other, in
simple terms, the algorithm needs to find the data
points whose values are similar to each other and
therefore these points would then belong to the
same cluster.
the algorithm finds values is by using the method of ‘Distance Measure’.
here distance measure is ‘Euclidean Distance’
,Understand K Means Clustering
,-Means Clustering is an Unsupervised Learning algorithm,
which groups the unlabeled dataset into different clusters.
Here K defines the number of pre-defined clusters that need
to be created in the process, as if K=2, there will be two
clusters, and for K=3, there will be three clusters, and so on.
, • Definition: It groups the data points based on
their similarity or closeness to each other, in
simple terms, the algorithm needs to find the data
points whose values are similar to each other and
therefore these points would then belong to the
same cluster.
the algorithm finds values is by using the method of ‘Distance Measure’.
here distance measure is ‘Euclidean Distance’
