Rabrg/jknn

A Java implementation of the k-nearest neighbors algorithm

27
/ 100
Experimental

This tool helps developers who need to categorize or predict outcomes based on similar past examples. It takes in structured data with known categories (for training) and then new, uncategorized data. The output is a predicted category for each new data point, based on the 'k' most similar training examples.

No commits in the last 6 months.

Use this if you are a Java developer building an application that needs a straightforward way to classify data, like recognizing handwritten digits or predicting types based on numerical features, using the k-nearest neighbors algorithm.

Not ideal if you need to classify very large datasets with high performance requirements or if you are looking for a pre-built application rather than a programming library.

data-classification pattern-recognition Java-development predictive-modeling
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 15 / 25

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Stars

7

Forks

4

Language

Java

License

Last pushed

May 15, 2017

Commits (30d)

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