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July 8, 2026Open Access

ClusterAlytics: An Interactive Browser-Based Learning Tool for K-means and Hierarchical Clustering

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Authors

VLV Lakshmi

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Overview

Interactive tool teaches K-means and hierarchical clustering in an engaging format, facilitating learning for users.

Key Points

  • The tool aims to teach unsupervised clustering methods using an interactive approach.
  • Developed as a browser-based tool with no installation needed.
  • Includes an animated K-means playground and interactive hierarchical clustering features.
  • Offers various learning aids like quizzes and syntax explorers for Python and R.
  • Learners engage with the content through interactive animations and direct manipulation.
  • The tool remains accessible offline and supports modest hardware configurations.
  • Colour-blind friendly design enhances usability across different user needs.

Cite This Study

V Lakshmi (2026) studied this question.

synapsesocial.com/papers/6a4de9e4d2ea289ef6283da2https://doi.org/10.5281/zenodo.21219851
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