A program to find frequent itemsets (also closed and maximal) with the eclat algorithm ,which carries out a depth first search on the subset lattice and determines the support of itemsets by intersecting transaction lists.
Implemented BFS, DFS and A*
To compile this project, use the following command:
g++ -o search main.cpp
Then you can run it:
./search
The input is loaded from a input file in.txt
Here is the format of the input file:
The first line of the input file shoud contain two chars indicate the source and destination city for breadth first and depth first algorithm.
The second line of input file shoud be an integer m indicate the number of connections for the map.
Following m lines describe the map, each line represents to one connection in this form: dist city1 city2, which means there is a connection between city1 and city2 with the distance dist.
The following input are for A*
The following line contains two chars indicate the source and destination city for A* algorithm.
Then there is an integer h indicate the number of heuristic.
The following h lines is in the form: city dist which means the straight-line distance from the city to B is dist.
圖的深度優(yōu)先遍歷和廣度優(yōu)先遍歷，以鄰接矩陣方式輸入。（按照提示輸入）！ - The chart depth first spreads the calendar and the breadth first spreads the calendar, is next the matrix way input. (According
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic distribution point method and the chart depth first traversal the law two kinds.It can searches the shortest way to demonstrate automatically
