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Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints

Research article (Symmetry, 2020) · cited 13× · AI/ML
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Summary

Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints is a scholarly article[1].

Key Facts

  • Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/document-clustering-using-k-means-with-term-weighting-as-similarity-based-constraints
MLA “Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/document-clustering-using-k-means-with-term-weighting-as-similarity-based-constraints.
BibTeX @misc{4ortxyz_document-clustering-using-k-means-with-term-weighting-as-similarity-based-constraints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints}}, year = {2026}, url = {https://4ort.xyz/entity/document-clustering-using-k-means-with-term-weighting-as-similarity-based-constraints}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints — https://4ort.xyz/entity/document-clustering-using-k-means-with-term-weighting-as-similarity-based-constraints (retrieved 2026-05-24)

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