Silhouettes
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
This software is also peer reviewed by journal TOMS.
This software is also peer reviewed by journal TOMS.
Keywords for this software
References in zbMATH (referenced in 168 articles , 1 standard article )
Showing results 1 to 20 of 168.
Sorted by year (- Afridi, Mohammad Khan; Azam, Nouman; Yao, JingTao: Variance based three-way clustering approaches for handling overlapping clustering (2020)
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- Kim, Joonpyo; Oh, Hee-Seok: Pseudo-quantile functional data clustering (2020)
- Monsuru Adepeju, Samuel Langton, Jon Bannister : Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets (2020) not zbMATH
- Smallman, Luke; Underwood, William; Artemiou, Andreas: Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination (2020)
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- Tavares, Ana Helena; Raymaekers, Jakob; Rousseeuw, Peter J.; Brito, Paula; Afreixo, Vera: Clustering genomic words in human DNA using peaks and trends of distributions (2020)
- Wohlgemuth, Murilo; Fries, Carlos Ernani; Sant’Anna, Ângelo Márcio Oliveira; Giglio, Ricardo; Fettermann, Diego Castro: Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression (2020)
- Yu, Jaehong; Zhong, Hua; Kim, Seoung Bum: An ensemble feature ranking algorithm for clustering analysis (2020)
- Alexandrov, Boian S.; Stanev, Valentin G.; Vesselinov, Velimir V.; Rasmussen, Kim Ø.: Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers (2019)
- Alonso, Andrés M.; Peña, Daniel: Clustering time series by linear dependency (2019)
- Hearne, Gareth M.; Milne, Andrew J.; Dean, Roger T.: Distributional analysis of (n)-dimensional feature space for 7-note scales in 22-TET (2019)
- He, Zhenfeng; Yu, Chunyan: Clustering stability-based evolutionary K-means (2019)
- Iglesias, Félix; Zseby, Tanja; Ferreira, Daniel; Zimek, Arthur: MDCGen: multidimensional dataset generator for clustering (2019)
- Le Brigant, Alice; Puechmorel, Stéphane: Quantization and clustering on Riemannian manifolds with an application to air traffic analysis (2019)
- López de Prado, Marcos; Lewis, Michael J.: Detection of false investment strategies using unsupervised learning methods (2019)
- Maragoudakis, Manolis: Data analysis, simulation and visualization for environmentally safe maritime data (2019)
- Pham-Toan, D.; Vo-Van, T.; Pham-Chau, A. T.; Nguyen-Trang, T.; Ho-Kieu, D.: A new binary adaptive elitist differential evolution based automatic (k)-medoids clustering for probability density functions (2019)