MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering

  title={MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering},
  author={Eun-Youn Kim and Seon-Young Kim and Daniel A. Ashlock and Dougu Nam},
  journal={BMC Bioinformatics},
  pages={260 - 260}
Uncovering subtypes of disease from microarray samples has important clinical implications such as survival time and sensitivity of individual patients to specific therapies. Unsupervised clustering methods have been used to classify this type of data. However, most existing methods focus on clusters with compact shapes and do not reflect the geometric complexity of the high dimensional microarray clusters, which limits their performance. We present a cluster-number-based ensemble clustering… CONTINUE READING
Highly Cited
This paper has 61 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
31 Extracted Citations
36 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 31 extracted citations

61 Citations

Citations per Year
Semantic Scholar estimates that this publication has 61 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 36 references

Similar Papers

Loading similar papers…