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10 projects in result set.
0. 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. | |
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Activity Percentile: 0.00 Registered: 2009-02-18 10:01 |
1. labeltodendro - This package converts labels to a dendrogram and can be used to summarize groupings achieved by Markov chain Monte Carlo clustering. | |
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Activity Percentile: 0.00 Registered: 2009-02-18 09:38 |
2. depmixS4 - hidden Markov model classes - Note: we have moved development over to GitHub at https://github.com/depmix/depmixS4
depmixS4 fits hidden Markov models on multi-var time series, subject to constraints on the parameters. Responses are from glm and some additional distributions; transitions can be time-dependent. | |
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Activity Percentile: 0.00 Registered: 2008-02-27 11:12 |
3. Rankcluster - This package proposes the first model-based clustering algorithm
dedicated to multivariate partial ranking data. This is an extension of the
Insertion Sorting Rank (ISR) model for ranking data. | |
Activity Percentile: 0.00 Registered: 2013-04-09 14:28 |
4. Thresher - Thresher is a comprehensive, statistical approach to class discovery combining PCA with hierarchical clustering. It can (1) identify outliers, (2) estimate the number of subgroups, and (3) automate the selection of metrics and linkage rules. | |
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Activity Percentile: 0.00 Registered: 2014-05-08 14:18 |
5. 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. | |
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Activity Percentile: 0.00 Registered: 2010-04-01 17:54 |
6. 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. | |
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Activity Percentile: 0.00 Registered: 2016-04-27 09:04 |
7. Clustericat - This package performs clustering for categorical data-set by the conditional correlated mixture model. It contains a function clusteringcat() performing the clustering on categorical data-set and returns object of appropriate class. | |
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Activity Percentile: 0.00 Registered: 2013-12-05 14:22 |
8. Curve Estimation etc - Nonparametric Curve Estimation and Related Topics
- univariate normal mixtures
- locally adaptive nonparametric regression (kernel, local polynomial)
- plugin density estimates | |
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Activity Percentile: 0.00 Registered: 2010-07-27 17:16 |
9. Marginal Product Mixture Model - Implementation of the marginal product mixture model, which clusters event data arising in one, two, or three-mode networks. Can be useful for exploratory data analysis and predictions about missing or future events. | |
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Activity Percentile: 0.00 Registered: 2010-11-03 07:18 |