
    Design an algorithm that determines the number of unique ways to group suspicious banking transactions into distinct behavioral patterns for fraud detection analysis. Each transaction must belong to exactly one pattern group, and the algorithm should consider all possible combinations of grouping n different transaction types to identify potential fraud scenarios.
    

    
def bell_number(n):
    """
    Design an algorithm that determines the number of unique ways to group suspicious banking transactions into distinct behavioral patterns for fraud detection analysis. Each transaction must belong to exactly one pattern group, and the algorithm should consider all possible combinations of grouping n different transaction types to identify potential fraud scenarios.
    

    """
def bell_number(n):
    """
    Design an algorithm that determines the number of unique ways to group suspicious banking transactions into distinct behavioral patterns for fraud detection analysis. Each transaction must belong to exactly one pattern group, and the algorithm should consider all possible combinations of grouping n different transaction types to 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]