State the purpose of the A* and Dijkstra's algorithms.
- (a)State the purpose of the A* and Dijkstra's algorithms.[1]
- (b)Outline the difference between the A* and Dijkstra's algorithms.[2]
- (c)Explain how unsupervised learning takes place in machine learning.[3]
Mark scheme
Marking points from the official mark scheme (May/June 2025). The mark or mark type is shown in brackets.
- [1] To find the path between two points on a graph using the algorithm.
- [2] One mark per point (Max 2)
- MP1 A* tries to find a better path (between two points) by using a heuristic function // A* finds the adjacent route with the shortest path and continues this until the destination is reached
- MP2 Dijkstra's just explores all possible routes.
- MP3 The heuristic function on the A* algorithm gives priority to nodes that are supposed to be better than others / less costly than others.
- MP4 Dijkstra's algorithm cannot work with negative values/weights //A* algorithm can work with negative values/weights.
- [3] One mark for each mark point (Max 3)
- MP1 Unsupervised learning uses algorithms to analyse / cluster
- MP2 unlabelled data sets
- MP3 They discover hidden patterns / data groupings / clusters without the need for human intervention.
- MP4 It is able to discover similarities and differences in data / information.
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