Describe algorithms you used in your experiments and data you used to produce the results

data mining


Design and implement a program based on a greedy algorithm to solve the Minimal Spanning Tree (MST) problem;

Choose and implement appropriate data structures for the algorithm;

Analyze the efficiency of different implementations of the algorithm in comparison with the brute force algorithm.


You should write a single program which implements Prim’s algorithm with different data structures, as well as the brute force search algorithm, to find the MST of an undirected, connected, weighted graph.


Your program should read a symmetric matrix from a text file that describes weighted edges of an undirected, connected graph and finds the MST that is saved in an output file as a sequence of edges of the MST. The program also displays the numbers of vertices and edges in the graph and the time spent to find its MST for each data structure used in Prim’s and the brute force search algorithms, which can be saved in another output file as well for your later analysis.
In addition, you need to create a small program or script to generate the weight matrix for a graph of various vertices and edges saved to a text file. When you create graphs, you need to consider the density and connectivity of graphs. You may use a program/script by other people, with reference to the source, to generate these matrices.
The brute force search algorithm
The algorithm operates on a two-dimensional array that represents the weight matrix.
Prim’s algorithm
The algorithm operates on one of the following data structures:
1. two-dimensional array that represents the weight matrix and unordered arrays;
2. adjacency lists and heaps.
Implement the brute force search algorithm and Prim’s algorithm operating on two data structures: matrix and heaps. 
2. Report
Describe application scenarios where the MST is applied and identify one application as the background and purpose of your experiments. You should interpret well the meanings of the vertices and edge weights, and why it is an MST problem in your identified application. Cite at least three references. (1 mark)
b. Methods (around 300 words)
Describe algorithms you used in your experiments and data you used to produce the results. (1 mark)
Result analysis (no more than 600 words)
Analyse the time complexity of your algorithms and discuss your results. You need to produce results with substantial differences in time spent for each algorithm and data structure. You should use at least one plot to present the results in terms of time spent and graph sizes. (2 marks)
Conclusion (around 50 words)
Summarise your findings and interpretations.
The script a3run should be configured to run for a small graph that can finish within a fraction of a second.
 The script should be configurable to run for a graph of any size.
The script can execute a program/script to generate the matrix before execute your MST program.o Failure to compile and run your program to produce results from your scripts will receive 0 mark.
Write a text file named readme to explain how your matrix is created, special consideration of your program compilation and execution, or any information related to your program that is necessary to configure and run your program to produce the results in your report. All your results reported in the report must be possibly produced by your submitted programs with easy configuration described in the readme file.
 Report, named report.pdf, is created in the PDF format.
 Failure to meet any requirements above may result in loss of marks.

Your program should only measure the time spent by the algorithm with its data structure to find the MST so that it is a proper design to use one method/function to implement an algorithm and its associated data structure. For an algorithm that operates on a weight matrix, it takes the weight matrix stored in a two-dimensional array as its parameter; for an algorithm that operates on adjacency lists, it takes adjacency lists you created from the weight matrix. You may create your own list data structures based on arrays. No STL or Java Collection or another collection framework can be used. In the part of the algorithm implementation, you should not use any library functions including maximal or minimal functions but create your own functions to operate on arrays.

Your program should be readable and well commented.

Data Structures and Algorithms



Introduction (around 200 words)


Other requirements:

Your programs can be compiled and executed with bash scripts called a3compile and a3run, respectively, on Ubuntu setup in the lab.

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