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Feature scaling

method used to normalize the range of independent variables
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Feature scaling

Summary

Feature scaling ranks in the top 2% of general entities by monthly Wikipedia readership (220 views/month).[1]

Key Facts

  • Feature scaling's subclass of is recorded as algorithm[2].
  • Feature scaling's Freebase ID is recorded as /m/0hqzsvw[3].
  • Feature scaling's Microsoft Academic ID is recorded as 70244629[4].

Why It Matters

Feature scaling ranks in the top 2% of general entities by monthly Wikipedia readership (220 views/month).[1] It has Wikipedia articles in 6 language editions, a strong signal of global cultural recognition.[5]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.

Aggregate / graph-position facts

  1. [1] ↑ . Wikimedia Foundation. dumps.wikimedia.org.
  2. [5] ↑ . Wikidata sitelinks. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Feature scaling. Retrieved April 10, 2026, from https://4ort.xyz/entity/feature-scaling
MLA “Feature scaling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/feature-scaling.
BibTeX @misc{4ortxyz_feature-scaling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature scaling}}, year = {2026}, url = {https://4ort.xyz/entity/feature-scaling}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature scaling — https://4ort.xyz/entity/feature-scaling (retrieved 2026-04-10)

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