Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering
Summary
Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering is a scholarly article[1].
Key Facts
Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/turning-big-data-into-tiny-data-constant-size-coresets-for-k-means-pca-and-projective-clustering
MLA“Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/turning-big-data-into-tiny-data-constant-size-coresets-for-k-means-pca-and-projective-clustering.
BibTeX@misc{4ortxyz_turning-big-data-into-tiny-data-constant-size-coresets-for-k-means-pca-and-projective-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering}}, year = {2026}, url = {https://4ort.xyz/entity/turning-big-data-into-tiny-data-constant-size-coresets-for-k-means-pca-and-projective-clustering}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering — https://4ort.xyz/entity/turning-big-data-into-tiny-data-constant-size-coresets-for-k-means-pca-and-projective-clustering (retrieved 2026-05-24)
