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# README FILE
# Machine Learning
# Assignment 5
#
# After completing the assignment, fill in this README file.  It asks you to duplicate
# your answer to several questions.  Be certain that your answers in this README file
# (which will be used for auto-grading) match the answers in your PDF writeup.
#
# This README file is formatted in YAML to allow it to be machine readable.  Please
# be very careful with how you edit it, being careful to following the formatting.
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# "FEEDBACK_ERRORS".  Make certain that the previous line ends with a | followed by a 
# newline.  Then, make certain that the subsequent lines are indented one level in 
# (4 spaces).  This sounds complex, but just follow the existing format of this file.
# If you run into any problems that you can't fix easily in listing your sources or 
# providing feedback on the assignment, just include your multi-line string answers to
# these parts as comments.  Everything else (all simple one-word or numeric answers) must
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# 
# Assignment Version 20151110a
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# Personal information (Be sure to change this!)
FIRSTNAME: Kung-hsiang
LASTNAME:  Huang
GTACCOUNT: khuang87
GTID:      903266314

# List all sources of help that you consulted while completing this assignment 
# (other students, colleagues, textbooks, websites, etc.).  This includes anyone you 
# briefly discussed the homework with.  If you received help from the following sources, 
# you do not need to cite it: course instructor, course teaching assistants, course 
# lecture notes, course textbooks or other readings.
# 
# If you didn't receive help from anyone, write "none".
Ali
SOURCESCONSULTED: |
    While completing the assignment, I consulted the following sources: 
    Chapter 2 of Pattern Recognition and Machine Learning by C. Bishop
    Chapter 5 of Machine Learning, A Probabilistic Perspective by K. Murphy


 
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# Answers to Problem 1:  K-means
#
# 
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# Problem 1a: What are the cluster centroids for each of the next two iterations?
KMEANS_CENTROIDS_ITER2: 2, 8.3
KMEANS_CENTROIDS_ITER3: 2.5, 9.2

# Problem 1b: Have the cluster centroids converged? (answer only YES or NO)
KMEANS_CENTROIDS_CONVERGED: YES



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# Answers to Problem 2:  K-means and Variance
#
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# Problem 2a: What happens to the variance of a partition as K increases? (answer 
#             only INCREASES, DECREASES, or STAYSSAME)
KMEANS_VARIANCE_EFFECT: DECREASES

# Problem 2b: For a dataset with $n$ instances, what value of k can you always get a variance of 0?
KMEANS_VARIANCE_ZEROVARIANCE: n



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# Answers to Problem 4:  Reinforcement Learning II (EXTRA CREDIT ONLY)
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# Problem 4a: Are the signs of these rewards important, or only the intervals between 
#             them?  (answer only SIGNS or INTERVALS)
RL_REWARDS_IMPORTANCE: INTERVALS


 
 
 
#######################################################################################
# Feedback on the Assignment (OPTIONAL)
# 
# The following information will help us improve future versions of this assignment.
# It is completely optional, but highly appreciated.  Please be honest.
#######################################################################################

# Approximately how many hours did it take you to complete this assignment?
FEEDBACK_NUM_HOURS: 0

# Please list any typos / errors you noticed in the assignment description or skeleton code
FEEDBACK_ERRORS: |
    None
 
# Please describe any problems you encountered while completing this assignment
FEEDBACK_PROBLEMS: |
    None
    

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