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A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability

Research article (Pattern Analysis and Applications, 2021) · cited 17× · AI/ML
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A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability

Summary

A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability is a scholarly article[1].

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  • A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-reciprocal-model-of-pca-and-k-means-with-an-innovative-approach-of-considering-sub-datasets-for-the-improvement
MLA “A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-reciprocal-model-of-pca-and-k-means-with-an-innovative-approach-of-considering-sub-datasets-for-the-improvement.
BibTeX @misc{4ortxyz_a-hybrid-reciprocal-model-of-pca-and-k-means-with-an-innovative-approach-of-considering-sub-datasets-for-the-improvement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-reciprocal-model-of-pca-and-k-means-with-an-innovative-approach-of-considering-sub-datasets-for-the-improvement}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability — https://4ort.xyz/entity/a-hybrid-reciprocal-model-of-pca-and-k-means-with-an-innovative-approach-of-considering-sub-datasets-for-the-improvement (retrieved 2026-05-24)

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