# A “Density-Based” Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-density-based-algorithm-for-cluster-analysis-using-species-sampling-gaussian/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Raffaele Argiento,Andrea Cremaschi,Alessandra Guglielmi |
| Citations | 22 |
| DOI | 10.1080/10618600.2013.856796 |
| Fields | Computer Science,Mathematics |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/10446/193124 |
| OpenAlex ID | https://openalex.org/W1978749372 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Andrea Cremaschi](https://scholariq.org/researchers/andrea-cremaschi/)

## 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/)
- [Advanced Clustering Algorithms Research](https://scholariq.org/topics/advanced-clustering-algorithms-research/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)

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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.