{ "info": { "author": "Xiyang Hu, Shuangjie Zhang", "author_email": "xiyanghu@outlook.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy" ], "description": "\n# BHC - Bayesian Hierarchical Clustering\n\n:100: \n\nThis is a project of implementing Beyesian Hierarchical Clustering in Python. \n\nHeller, Katherine A., and Zoubin Ghahramani. \"Bayesian hierarchical clustering.\" Proceedings of the 22nd international conference on Machine learning. ACM, 2005.\n\n\n### Data sets:\n#### Data sets from the paper:\ntoyexample: handwriting number 0,2,4. It has 64 variables, containing information of handwriting.\n\n `dim`: (120, 64)
\n\n#### Data sets not in the paper:\niris: 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.
\n\n `dim`: (150, 5)
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