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Bayesian Hierarchical Clustering

Project description

# BHC - Bayesian Hierarchical Clustering


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/>

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Filename, size & hash SHA256 hash help File type Python version Upload date
BHClustering-0.0.3-py2.py3-none-any.whl (5.8 kB) Copy SHA256 hash SHA256 Wheel py2.py3 May 1, 2018
BHClustering-0.0.3.tar.gz (6.0 kB) Copy SHA256 hash SHA256 Source None May 1, 2018

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