Internal versus External cluster validation indexes

By Eréndira Rendón, Itzel M. Abundez, A. Arizmendi, E. M. Quiroz. 2011

486 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/205429d63883b041436fdf2be8170a1f98fa90da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Juan C. Caicedo
2. Shantanu Singh
3. Oren Z. Kraus
4. Anne E Carpenter
5. Kristina P. Sinaga
6. Sam Cooper
7. Florian Heigwer
8. Ian Smith

Citations in the corpus

• Unsupervised K-Means Clustering Algorithm (2020, background): “Clustering validity indices can be grouped into two major categories: external and internal [24].”
• Data-analysis strategies for image-based cell profiling (2017, methodology): “The most recommended practice is to use samples treated in a different experimental batch to create the holdout test set (other ground-truth recommendations are described in ‘Assay quality assessment’).”