MSC-BDT5002作业代写、代做Python实验作业、代写Data Mining、代做Python语言程序作业
MSC-BDT5002 Knowledge Discovery
and Data Mining, Fall 2018
Assignment 3
Deadline: Nov. 14th, 11:59 pm ,2018
Task Description
Unsupervised learning is a branch of machine learning that learns from test
data that has not been labeled, classified or categorized. Instead of
responding to feedback, unsupervised learning identifies commonalities in
the data and reacts based on the presence or absence of such commonalities
in each new piece of data. In this assignment, you need to cluster a certain
amount of image data. We will not tell you an exact number of cluster
you should do, you need to find the most appropriate number of
clusters by yourself.
File Description
In total there are 5,011 images.
Sample_submission.csv: The sample submission format you should
follow.
Notes
1. Your assignment will be graded by the clustering accuracy and
clarification for your feature engineering and model details (in
readme.pdf).
2. TA will check your source code carefully, so your code must be
runnable. Keep your code clean and comment it clearly.
3. You can use any programming language. In principle, python is
preferred.
4. Cheating is not allowed. Your result MUST be reproducible.
5. Plagiarism will lead to zero mark.
6. You can use any clustering methods.
Submission Guidelines
1. Assignment should be submitted to [email protected] as
attachment.http://www.daixie0.com/contents/3/2145.html
2. You need to zip the following three files together:
a . A3_itsc_stuid_readme.pdf. Write your feature engineering in it
b . A3_itsc_stuid_code.zip: The zip file contains all your source codes.
c . A3_itsc_stuid_prediction.csv: The clustering result. Each column
stands for one cluster. For example, if you get 8 clusters, your .csv file
should contains 8 columns. The number in the column indicates the
name of the image without a suffix. For example, if the name of an
image is ‘01234.jpg’, you only need to write ‘01234’ into the result.
3. Attachment should be named in the format of: A3_itsc_stuid.zip. E.g.
A3_lliny_20181314.zip
4. Submissions after the deadline or not following the rules above are NOT
accepted.

因为专业，所以值得信赖。如有需要，请加QQ：99515681 或邮箱：[email protected] 

微信：codinghelp