K-Means clustering of Tweets

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K-Means clustering of Tweets

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Last edited Jul 19, 2015

Created on Jul 19, 2015

This example visualizes the results of K-Means clustering on tweets, grouping them into ten thematic clusters displayed as a circle-packing layout. The visualization shows each cluster as a collection of orange leaf nodes representing individual tweets, with blue parent circles indicating cluster boundaries. Hovering over a node reveals the tweet text in a tooltip. The code uses the D3.js v3 layout `d3.layout.pack` to compute the hierarchical layout and binds data loaded from a tab-separated text file containing tweet text and cluster assignments. The visualization is rendered as SVG with animated transitions.

AI-generated description

K-means clustering of the tweets extracted using search API.

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