A novel method for clustering using k-means and Apriori algorithm
Syed Zishan Ali, Nikhil Tiwari, Sushmita Sen · 2016
In today's world there is rapid development in every field which contains bulk of data and different types of data. In order to distinguish sample data from the other data mining techniques are used in combination with many useful algorithms. Android development is one the major area where there is an immense needs to implement these algorithms. Combining frequent patterns algorithms with clustering is very effective for android. In this paper the work is done in two levels, initial stage focuses on implementing the k-means clustering algorithm and final stage calculate the frequent pattern in the clusters.