Project 3 Document clustering solution

Read the following requirements carefully, and make sure you follow every rule. If you fail to
meet some requirement, marks will be deducted accordingly.
 Submit ONE zip file that contains all source codes, 3rd party libraries and a single PDF
project document. (5 points)
 Requirement on your project document:
o The file format of the doocument is PDF;
o No limitation on the number of pages, or the format of the document;
o The document must clearly describe how you design and implement your ideas; (5
points)
o The document must clearly state how to execute your program using command line;
(5 points)
o The document must provide execution screenshots of your program. (3 points)
 Requirement on your source code:
o You have to implement the whole project by yourself;
o 3
rd party libraries can be used ONLY for reading TSV files, stop words removal,
and stemming;
o Your source code must pass compilation. Any non-executable submission is not
acceptable. Make sure your program compiles and runs on omega.uta.edu,
before you submit.
o Your submission must EXCLUDE the input files that we provide to you; (2 points)
o You can use any language that can run on omega.uta.edu, though I recommend
Java and Python;
 If you use Java, you may include your Eclipse or NetBean project folder.
Remember to exclude the input files;
 If you use python, then you only need to submit your source code.
PROBLEM SCENARIO:
BACKGROUND
Project 3 asks you to cluster jobs based on job descriptions and requirements.
TASKS
You are given jobs.tsv, a tab-separated file which has three columns: JobID, description, and
requirements. Note that this is not the file used in Project1, nor the file used in Project 2. Your task is to
design/implement a clustering algorithm to cluster the given jobs into a number of clusters. You can
determine which method to use and how many clusters to be generated.
More specific tasks include:
1) (10 points) read information from input files.
2) (50 points) implement your clustering program.
3) (20 points) print your cluster assignments to an output file named output.tsv. The output file should
look like the following. An example file sampleoutput.tsv is given to you.
1020868 1
628097 3
… …
284009 3
628097 9
891097 1

Your output file output.tsv must contain exact the same number lines as jobs.tsv, each of which has two
tab-separated fields (JobID, ClusterNo). The ClusterNo is the JobID’s assigned cluster number.
We will use your output.tsv to assess how good your clustering is. Whichever clustering method you
choose to implement, you should always have an evaluation metrics (e.g., SSE) to assess how good
your clustering result is.
Your program must be executed by the following commands, and the arguments must be in the same
order:
java your-main-class-name /path/to/data/file/directory/ /path/to/output.tsv
or
python your-script-file.py /path/to/data/file/directory/ /path/to/output.tsv
or
./a.out /path/to/data/file/directory/ /path/to/output.tsv
* /path/to/data/file/directory/ is the path (e.g., /home/john/data-mining/data/) to the directory that has
the input file: jobs.tsv.
* /path/to/output.tsv is the path to the output file, e.g. /home/john/data-mining/output.tsv