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design and implement approximation algorithms for k-means clustering problem.

$10-30 USD

Completed
Posted almost 8 years ago

$10-30 USD

Paid on delivery
K-means clustering problem. Consider a set of data points d1, d2, …, dn and an integer k > 0. Suppose that each data point di = (xi, yi) is a point in 2D space.
Project ID: 10794778

About the project

3 proposals
Remote project
Active 8 yrs ago

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I have already done this project once. See my profile if you want to verify :)
$30 USD in 1 day
4.9 (237 reviews)
6.7
6.7
3 freelancers are bidding on average $62 USD for this job
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I have this program ready. I can help you out. i did this for a student of india.
$55 USD in 1 day
4.9 (33 reviews)
5.2
5.2
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Hello, I'm an engineer, data scientist and an expert in machine learning. I'm very conversant and skilled with classification algorithms and I'm very interested in your project. Let's talk and discuss the details. Regards
$100 USD in 2 days
5.0 (1 review)
2.8
2.8

About the client

Flag of UNITED STATES
dayton, United States
5.0
12
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Member since Jan 30, 2016

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