skip to Main Content
The smarter way
to do assignments.

Please note that this is just a preview of a school assignment posted on our website by one of our clients. If you need assistance with this question too, please click on the Order button at the bottom of the page to get started.

project demonstrates how to measure similarities between the data objects. These topics described are mostly from chapter 2.4 :  dataType4.pdf
1) Based on the table 2.8 in Dissimilarities between Data Objects 2.4.3, show example of calculating  P2dist.pdf
A) Euclidean distance
B) L1 distance
2) Prove or disprove that Euclidean and L1 distance satisfy
A) Positivity
(i) d(x,y) >= 0 for all x and y,
(ii) d(x,y) == 0 only if x == y.
B) Symmetry
d(x,y) == d(y,x) for all x and y.
C) Triangle Inequality
d(x,z) <= d(x,y) + d(y,z) for all points x, y, and z 3) Explain with the example : A) What is Hamming distance? B) Is it possible to rearrange data so Euclidean distance gives the same meaning as Hamming distance? C) For distance measure d=1-cos(x,y), are the Positivity, Symmetry, and Triangle Inequality satisfied? 4) Draw the conclusions about if it matters which distance measure is picked to evaluate the dissimilarities between data objects. Consider Euclidean, L1, and 1-cos(x,y) measures.


Clicking on this button will take you to our custom assignment page. Here you can fill out all the additional details for this particular paper (grading rubric, academic style, number of sources etc), after which your paper will get assigned to a course-specific writer. If you have any issues/concerns, please don’t hesitate to contact our live support team or email us right away.

How It Works        |        About Us       |       Contact Us

© 2018 | Intelli Essays Homework Service®