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KMeans clustering on two attributes in data mining

Last modified on December 9th, 2018 at 9:19 pm

How Is K-Means clustering performs on two attributes?

Lets start the discussion with an example. For example, we have 2 attributes;

Paper1.

Paper 2.

First of all, randomly we will choose centroid values.

Then calculates the distance between each value of paper 1 and paper 2.

Next, Find the error rate.

Repeat this all process until the error rate remains consistent in at least two last iterations or clusters stops to change further.

data mining clustering

data mining clustering
Figure: k-mean clustering
Prof. Fazal Rehman Shamil
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