Matt Piekenbrock

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Signal Processing — 12 citations into it
• Information Systems — 5 citations into it

Whom Matt Piekenbrock trusts overall

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

1. Hans-Peter Kriegel
2. Martin Ester
3. Ricardo José Gabrielli Barreto Campello
4. Yixin Chen
5. Sunil Arya
6. Dirk Eddelbuettel
7. Pasi Fränti
8. Anil K. Jain
9. Cor J. Veenman
10. Jörg Sander

Papers from Matt Piekenbrock's perspective

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

1. Multidimensional binary search trees used for associative searching
2. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
3. Density-Based Clustering over an Evolving Data Stream with Noise
4. Density-based clustering for real-time stream data
5. Scikit-learn: Machine Learning in Python
6. LOF: identifying density-based local outliers
7. On comparing partitions
8. Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection (ACM Transactions on Knowledge Discovery from Data)
9. Clustering aggregation (IEEE International Conference on Data Engineering)
10. Data clustering: a review

Their papers

• dbscan: Fast Density-Based Clustering with R (2019) — 794 citations