Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)

By Boris G. Mirkin. 2005

441 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/5eef24aac20bfed5a6c7702b13ae51a1f29c1b29

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In Artificial Intelligence

1. Huan Liu
2. Reza Zafarani
3. Mohammad Ali Abbasi
4. George A. Kuczera
5. Dmitri Kavetski
6. Benjamin Renard
7. S. Franks
8. S. Srikanthan

Citations in the corpus

• Social Media Mining: An Introduction (2014, methodology): “A taxonomy of clustering algorithms can be found in [Berkhin, 2006; Jain et al., 1999; Xu and Wunsch, 2005; Mirkin, 2005].”
• Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis (2009, methodology): “The measure closely resembles analogous criteria used in other statistical applications, including (1) in cluster analysis to optimize the cluster groupings [Mirkin, 2005], (2) convergence assessment of MCMC chains [Gelman et al., 2004], and (3) in standard ANOVA methods.”