# CHIME: Clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/chime-clustering-of-high-dimensional-gaussian-mixtures-with-em-algorithm-and-its/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tianxi Cai,Jing Ma,Linjun Zhang |
| Citations | 70 |
| DOI | 10.1214/18-aos1711 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Mathematics |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://projecteuclid.org/journals/annals-of-statistics/volume-47/issue-3/CHIME--Clustering-of-high-dimensional-Gaussian-mixtures-with-EM/10.1214/18-AOS1711.pdf |
| OpenAlex ID | https://openalex.org/W2911742394 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Jing Ma](https://scholariq.org/researchers/jing-ma/)

## Paper primary topic

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)

## Paper topics

- [Bayesian Methods and Mixture Models](https://scholariq.org/topics/bayesian-methods-and-mixture-models/)
- [Statistical Methods and Inference](https://scholariq.org/topics/statistical-methods-and-inference/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.