Papers: 10.1186/s12859-017-1998-9

https://doi.org/10.1186/s12859-017-1998-9

Thresher: determining the number of clusters while removing outliers

Cited by: 36
Author(s): Min Wang, Zachary B. Abrams, Steven M. Kornblau, Kevin R. Coombes
Published: almost 9 years ago

Software Mentions 8

cran: cclust
Convex Clustering Methods and Clustering Indexes
Papers that mentioned: 5
Very Likely Science (75)
cran: clusterSim
Searching for Optimal Clustering Procedure for a Data Set
Papers that mentioned: 31
Very Likely Science (75)
cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Papers that mentioned: 297
Very Likely Science (85)
cran: movMF
Mixtures of von Mises-Fisher Distributions
Papers that mentioned: 3
Very Likely Science (75)
cran: NbClust
Determining the Best Number of Clusters in a Data Set
Papers that mentioned: 181
Very Likely Science (75)
cran: PCDimension
Finding the Number of Significant Principal Components
Papers that mentioned: 4
Very Likely Science (75)
cran: Thresher
Threshing and Reaping for Principal Components
Papers that mentioned: 4
Likely Science (50)
pypi: environment
This library provides parsing and validation of environment variables.
Papers that mentioned: 569
Very Likely Science (65)