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Topic > Cluster Analysis > Hierarchical Clustering

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12 projects in result set.

0. mrp - MOVED TO GITHUB: https://github.com/malecki/mrp

Development Status : 1 - Planning [Filter]
Development Status : 4 - Beta [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
Intended Audience : System Administrators [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : Microsoft [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : R (Now Filtering)
Topic : Bayesian Statistics : Specific Model Fitting [Filter]
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]

Registered: 2009-09-21 14:11

1. DHclus - Divisive hierarchical clustering algorithm with automatic determination of components

Development Status : 3 - Alpha [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Natural Language : Spanish [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Cluster Analysis : Partitioning Clustering [Filter]

Activity Percentile: 0.00

Registered: 2012-08-31 12:26

2. ziLRhClust: hclust for zeroinflated data - Algorithm to process hierarchical clustering, based on log-likelihood ratio, considering standard Gaussian or zero-Inflated Gaussian data. The agglomeration method is also the log-likelihood-based dissimilarity between clusters.
Development Status : 4 - Beta [Filter] License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English [Filter] Programming Language : C/C\+\+ [Filter] Programming Language : R (Now Filtering) Topic : Cluster Analysis : Hierarchical Clustering [Filter] Topic : Cluster Analysis : Model-based Clustering [Filter]	Activity Percentile: 0.00 Registered: 2016-04-27 09:04

3. Clustering (Discrete) Distributions - Clustering of (discrete) distributions according to various definitions of error functions between units and leaders.
Development Status : 3 - Alpha [Filter] Programming Language : R (Now Filtering) Topic : Cluster Analysis : Hierarchical Clustering [Filter] Topic : Cluster Analysis : Other Cluster Algorithms [Filter]	Activity Percentile: 0.00 Registered: 2009-02-27 11:24

4. Isopam - The 'isopam' package was originally developed for the classification of plant and animal assemblages. It includes the isopam cluster algorithm and related functions.

Development Status : 4 - Beta [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Cluster Analysis : Partitioning Clustering [Filter]
Topic : Multivariate Statistics : Unsupervised Classification : Cluster Analysis [Filter]

Activity Percentile: 0.00

Registered: 2010-11-30 10:37

5. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.

Development Status : 4 - Beta [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : Python [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
Topic : Optimization [Filter]

Registered: 2011-05-09 12:56

6. bclust - Bayesian clustering with variable selection is a fully automatic clustering method, designed for low-sample-size-high-dimensional situations. This might be regarded as a high-dimensional variant of the mclust package.

Development Status : 5 - Production/Stable [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : Microsoft : Windows [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : R (Now Filtering)
Topic : Bioinformatics : Statistics [Filter]
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Cluster Analysis : Model-based Clustering [Filter]

Activity Percentile: 0.00

Registered: 2009-02-18 10:01

7. STOPS - Methods that fit nonlinear distance transformations in multidimensional scaling and trade-off the fit with structure considerations to find optimal parameters.

Development Status : 3 - Alpha [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : Microsoft : Windows [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Multivariate Statistics : Principal Coordinates / Scaling Methods [Filter]
Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]

Activity Percentile: 0.00

Registered: 2015-02-12 00:09

8. Local Depth - The package "localdepth" contains functions for the evaluation of some Depth functions and their corresponding local versions, namely Local Depths. Simplicial, Ellipsoid and Mahalanobis Depths are implemented for general dimension.

Development Status : 2 - Pre-Alpha [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : Fortran [Filter]
Programming Language : R (Now Filtering)
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Multivariate Statistics [Filter]
Topic : Robust Statistics [Filter]

Activity Percentile: 0.00

Registered: 2008-09-16 15:34

9. Mixed-data clustering and visualization - The aim of the project is the development of utilities for clustering subjects and variables of mixed data types. The main purpose is the generation of a mixed-data heatmap.
Development Status : 2 - Pre-Alpha [Filter] Intended Audience : End Users/Desktop [Filter] License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English [Filter] Programming Language : R (Now Filtering) Topic : Bioinformatics : Visualization [Filter] Topic : Cluster Analysis : Hierarchical Clustering [Filter] Topic : Graphics : Plotting [Filter]	Activity Percentile: 0.00 Registered: 2016-02-25 15:54

10. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : Microsoft : Windows : Windows Vista [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : R (Now Filtering)
Topic : Bioinformatics : Statistics [Filter]
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Cluster Analysis : Model-based Clustering [Filter]

Activity Percentile: 0.00

Registered: 2010-04-01 17:54

11. clamix - Clustering Symbolic Objects - The package implements clustering procedures of symbolic objects that are described by multi valued modal data. Additional: classes symObject and symData for saving symbolic objects and their methods are implemented.
Development Status : 3 - Alpha [Filter] Natural Language : English [Filter] Programming Language : R (Now Filtering) Topic : Cluster Analysis : Hierarchical Clustering [Filter]	Activity Percentile: 0.00 Registered: 2010-08-20 08:09