Write a Python Program to implement FP tree growth Algorithm

Question

Write a Python Program to implement FP tree growth Algorithm on a dataset of your own choice.

18 Apr 2025

Answer :

Word Count : 953

Sure! Here's an implementation of the FP-growth algorithm in Python using a sample dataset. In this case, I’ll use a simple transactional dataset, which is a common use case for the FP-growth algorithm. The FP-growth algorithm is typically used for frequent itemset mining in a transactional dataset. It works by constructing a frequent pattern tree (FP-tree) and mining the tree for frequent itemsets. The following Python program demonstrates how to implement FP-growth:

```python
from collections import defaultdict

class FPTree:
def __init__(self, transactions, min_support):
self.min_support = min_support
self.frequent_itemsets = {}
self.tree = self.build_tree(transactions)

def build_tree(self, transactions):
header_table = defaultdict(int)

# Count frequency of items
for transaction in transactions:
for item in transaction:
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