FilterK: A new outlier detection method for k-means clustering of physical activity

Research article (Journal of Biomedical Informatics, 2020) · cited 36× · AI/ML
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FilterK: A new outlier detection method for k-means clustering of physical activity

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FilterK: A new outlier detection method for k-means clustering of physical activity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FilterK: A new outlier detection method for k-means clustering of physical activity. Retrieved May 24, 2026, from https://4ort.xyz/entity/filterk-a-new-outlier-detection-method-for-k-means-clustering-of-physical-activity
MLA “FilterK: A new outlier detection method for k-means clustering of physical activity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/filterk-a-new-outlier-detection-method-for-k-means-clustering-of-physical-activity.
BibTeX @misc{4ortxyz_filterk-a-new-outlier-detection-method-for-k-means-clustering-of-physical-activity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FilterK: A new outlier detection method for k-means clustering of physical activity}}, year = {2026}, url = {https://4ort.xyz/entity/filterk-a-new-outlier-detection-method-for-k-means-clustering-of-physical-activity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FilterK: A new outlier detection method for k-means clustering of physical activity — https://4ort.xyz/entity/filterk-a-new-outlier-detection-method-for-k-means-clustering-of-physical-activity (retrieved 2026-05-24)

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