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2 projects in result set.
0. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models.
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- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2010-08-05 07:40 |
1. 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.
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- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
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- Programming Language : Python [Filter]
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
