When working with Minimum Spanning Tree (MST) algorithms like Kruskal's and Prim's, there are some common mistakes you should avoid. This will help you get better results. Here are some important points to keep in mind:

1. Ignoring Edge Cases:

   • Always think about disconnected graphs. Kruskal's algorithm needs to connect all points. If you have a graph that's not fully connected, it's really important to handle that situation correctly.

2. Wrong Data Structures:

   • Picking the wrong tools can slow you down. For example, if you use a simple list instead of a priority queue with Prim's algorithm, it can make your process much slower—from $O(E \log V)$ to $O(V^2)$.

3. Missing Edge Weights:

   • Make sure the weights for edges are correct. With Kruskal’s algorithm, sorting the edges by their weights first is really important before you build the MST.

4. Not Checking for Cycles:

   • If you don’t check for cycles in Kruskal’s algorithm, you might end up with the wrong trees. Learn to use the union-find algorithm to help you check for cycles efficiently.

By avoiding these common mistakes, you'll make your MST work even better!