# BHC - Bayesian Hierarchical Clustering
- 100:
This is a project of implementing Beyesian Hierarchical Clustering in Python.
Heller, Katherine A., and Zoubin Ghahramani. “Bayesian hierarchical clustering.” Proceedings of the 22nd international conference on Machine learning. ACM, 2005.
### Data sets: #### Data sets from the paper: toyexample: handwriting number 0,2,4. It has 64 variables, containing information of handwriting.
dim: (120, 64) <br/>
#### Data sets not in the paper: iris: This is perhaps the best known database to be found in the pattern recognition literature. Fisher’s paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other. <br/>
dim: (150, 5) <br/>
Release files for BHClustering 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| BHClustering-0.0.3.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| BHClustering-0.0.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 11.8 kB
Release files / BHClustering-0.0.3.tar.gz
| Download URL | BHClustering-0.0.3.tar.gz |
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| Size | 6.0 kB |
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Release files / BHClustering-0.0.3-py2.py3-none-any.whl
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| Size | 5.8 kB |
| Tags | Python 2 Python 3 |
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