K Nearest Neighbors Application icon

K Nearest Neighbors Varies with device

1 MB / 0+ Downloads / Rating 1.0 - 1 reviews


See previous versions

K Nearest Neighbors, developed and published by Aman Kumar Jha, has released its latest version, Varies with device, on 2019-01-07. This app falls under the Education category on the Google Play Store and has achieved over 5 installs. It currently holds an overall rating of 1.0, based on 1 reviews.

K Nearest Neighbors APK available on this page is compatible with all Android devices that meet the required specifications (Android 2.3+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.creativecoding.knn

Updated: 6 years ago

Developer Name: Aman Kumar Jha

Category: Education

New features: Show more

Installation Instructions

This article outlines two straightforward methods for installing K Nearest Neighbors on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

1.0
Total 1 reviews

Previous Versions

K Nearest Neighbors Varies with device
2019-01-07 / 1 MB / Android 2.3+

About this app

Visualization of one of the famous machine learning algorithm -> K- Nearest Neighbors.
A k-nearest-neighbor algorithm, often abbreviated as K-NN, is an approach to data classification that estimates how likely a data point is to be a member of one group or the other depending on what group the data points nearest to it are in.

The k-nearest-neighbor is an example of a "lazy learner" algorithm, meaning that it does not build a model using the training set until a query of the data set is performed.

New features

-Bugs Fixed
-The app doesn't crash when the value of species is 0
-Added sliders in place of buttons
-Fixed Resolution issues