Benjamin Moseley

Artificial Intelligence · with Kumar · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Signal Processing — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Benjamin Moseley trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Arthur
2. Sergei Vassilvitskii
3. Tian Zhang
4. Howard J. Karloff
5. Flavio Chierichetti
6. Weizhong Zhao
7. Sudipto Guha
8. Rafail M. Ostrovsky
9. Abhinandan Das

Who trusts Benjamin Moseley overall

1. Edo Liberty
2. Mario Lucic
3. Richard Nock

Papers from Benjamin Moseley's perspective

Ordered by how strongly the researchers Benjamin Moseley trusts endorse each paper. Same corpus, a different order for every researcher.

1. Least squares quantization in PCM
2. A local search approximation algorithm for k-means clustering (SCG '02)
3. Data clustering: a review
4. Clustering Data Streams: Theory and Practice
5. BIRCH: an efficient data clustering method for very large databases
6. A Survey of Clustering Data Mining Techniques
7. The Effectiveness of Lloyd-Type Methods for the k-Means Problem (IEEE Annual Symposium on Foundations of Computer Science)
8. How slow is the k-means method? (SCG '06)
9. LOF: identifying density-based local outliers
10. A model of computation for MapReduce (ACM-SIAM Symposium on Discrete Algorithms)

Their papers

• Local Search Methods for k-Means with Outliers (2017) — 114 citations
• Scalable K-Means++ (2012) — 741 citations