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Clustering performance comparison using K-means and expectation maximization algorithms
Clustering is an important means of data mining based on separating data categories by similar features. Unlike the classification algorithm, clustering belongs to the unsupervised type of algorithms. Two representatives of the clustering algorithms are the K-means and the expectation maximization (...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Taylor & Francis
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433949/ https://www.ncbi.nlm.nih.gov/pubmed/26019610 http://dx.doi.org/10.1080/13102818.2014.949045 |