K nearest neighborhood classification

$30-250 USD

Completed

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over 12 years ago

$30-250 USD

Paid on delivery

Sample datasets in arff file format. *[login to view URL] includes document strings and class information. *[login to view URL] files contains tokenized to terms version. Each term or word corresponds to an attribute. These attributes are numeric and shows the frequency of this particular term in a document (instance). 1. Mininews dataset consist of newsgroups postings in 20 different class, each containing 100 postings. A total of 2000 documents (instances). 2. 1150haber dataset consist of news in 5 different classes; each containing 230 news. A total of 1150 documents (instances)

Data Mining

Project ID: 1360143

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Active 12 yrs ago

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Awarded to:

@LB0

Hi, I am professional developer interested in your project. Please check message box for details about my offer.

$130 USD in 4 days

5.0

(2 reviews)

3.3

4 freelancers are bidding on average $83 USD for this job

@diepbp

I am confident to handle your project. Please check your inbox for details, thank you.

$50 USD in 1 day

4.9

(6 reviews)

3.7

@ghcmmining

I have code-ready to do the project instantly. Only need time to adjust algorithm a bit and also time to run it. That's all. Thanks.

$50 USD in 3 days

0.0

(0 reviews)

0.0

@jayalakshmi2k

Hi, i have completed masters in Artificial Intelligence. I have good knowledge and expertise of data mining tools and softwares to import the .arff file after transformations in order to apply k nearest neighborhood.

$100 USD in 2 days