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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

K-Means

Algorithms · Level 2 of 5

K-Means

A clustering method alternating assignments and centroid updates to reduce within-cluster squared distances.

Its solutions depend on initialization and the chosen number of clusters.

Example

Points are partitioned around five learned centers.

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Audio transcript

K-Means. A clustering method alternating assignments and centroid updates to reduce within-cluster squared distances. Its solutions depend on initialization and the chosen number of clusters. For example: Points are partitioned around five learned centers.

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This helps you compare problem-solving methods and their computational tradeoffs.

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