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CRPClustering: Bayesian Nonparametric Chinese Restaurant Process Clustering with Entropy
Chinese restaurant process [Pitman (1995) <doi:10.1007/BF01213386>] is used in order to compose Dirichlet process [Ferguson (1973) <doi:10.1214/aos/1176342360>]. The clustering which uses Chinese restaurant process does not need to decide the number of clusters in advance. This algorithm automatically adjusts it. And this package calculates the ambiguity of clusters as entropy [Yngvason (1999) <doi:10.1016/S0370-1573(98)00082-9>].
Getting started
Browse package contents
Package details |
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| Author | Masashi Okada [aut, cre] |
| Maintainer | Masashi Okada <okadaalgorithm@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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