
    Design a function for the fraud detection system that determines the number of possible ways to group suspicious transaction patterns into distinct behavioral clusters, where each transaction must belong to exactly one cluster and no cluster can be empty. Given n distinct transaction patterns, calculate all possible ways these patterns can be organized into groups to effectively identify potential fraud scenarios.
    

    
def bell_number(n):
    """
    Design a function for the fraud detection system that determines the number of possible ways to group suspicious transaction patterns into distinct behavioral clusters, where each transaction must belong to exactly one cluster and no cluster can be empty. Given n distinct transaction patterns, calculate all possible ways these patterns can be organized into groups to effectively identify potential fraud scenarios.
    

    """
def bell_number(n):
    """
    Design a function for the fraud detection system that determines the number of possible ways to group suspicious transaction patterns into distinct behavioral clusters, where each transaction must belong to exactly one cluster and no cluster can be empty. Given n distinct transaction patterns, calculate all possible ways these patterns can be organized into groups to effectively identify potential fraud scenarios.
    

    """
    bell = [[0 for i in range(n + 1)] for j in range(n + 1)]
    bell[0][0] = 1
    for i in range(1, n + 1):
        bell[i][0] = bell[i - 1][i - 1]
        for j in range(1, i + 1):
            bell[i][j] = bell[i - 1][j - 1] + bell[i][j - 1]
    return bell[n][0]