Fast-Coresets: A Nearly-Linear Time Algorithm for Efficient Clustering

21 Feb 2025

Discover a nearly-linear time coreset algorithm for k-means and k-median clustering.

Make Big Data More Manageable with Smart Sampling

21 Feb 2025

Learn the limits of clustering compression, appreciating Fast-Coresets' efficiency and questioning how fairness and optimality fit into future coreset research

Why Some Data Sampling Methods Fail (And Others Don’t)

20 Feb 2025

A deep dive into Fast-Coresets, BICO, and sensitivity sampling, evaluating speed vs. accuracy trade-offs in clustering compression.

How Different Sampling Strategies Affect Clustering Accuracy

20 Feb 2025

A performance comparison of Fast-Coresets, BICO, and Streamkm++ across real and artificial datasets to evaluate clustering speed vs. accuracy tradeoffs.

What Is the Best Way To Compress Big Data Without Sacrificing Accuracy?

20 Feb 2025

Fast-Coresets balance speed and accuracy in clustering compression, outperforming uniform sampling but requiring careful dataset selection for optimal results.

Reducing Spread Impact in Clustering Algorithms

20 Feb 2025

Reducing dataset spread logarithmically improves clustering efficiency, enabling faster k-median and k-means solutions with quadtree embeddings.

How to Make Big Data Clustering Faster and More Efficient

20 Feb 2025

Fast-kmeans++ and quadtree embeddings enable rapid coreset computation, reducing k-means complexity and improving clustering efficiency.

Coresets, Compression, and the Quest for Faster Data Clustering

20 Feb 2025

Explore fast and scalable clustering techniques for large datasets.

How to Fit an Elephant in a Spreadsheet

20 Feb 2025

Discover a faster way to cluster massive datasets without sacrificing accuracy.