Contrary to the Apriori algorithm which suffers from higher computational Expense on account of prospect generation and many database scans. FP-Growth avoids these inefficiencies by compressiIt identifies clusters as dense regions from the data space separated by regions of decreased density. Unlike K-Implies or hierarchicMachine learning ways are