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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 (...
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| 出版年: | Biotechnol Biotechnol Equip |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Taylor & Francis
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4433949/ https://ncbi.nlm.nih.gov/pubmed/26019610 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/13102818.2014.949045 |
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