1.Data from UCI reporistory.
2.Clustering problem (unsupervised problem).
3.Used PCA algorithms for dimensions reduction and variance ratio is 0.65.
4.by elbow method choosing best K to dataset.
5.clustering the customers based on Transcration of customer credit card history.
