What is it about?
The paper investigates the application of K-means algorithm to the clustering of high and multi-dimensionality problems.
Featured Image
Why is it important?
The paper is unique as it provides a pre-processor to dynamically determine the value of k. The high and multi-dimensional data sequences could be adjusted based on the method provided in the paper to enable K-means contain the dimensions. State-of-the-art measures and validity indices were to determine correctness of results.
Read the Original
This page is a summary of: An investigation of K‐means clustering to high and multi‐dimensional biological data, Kybernetes, April 2013, Emerald,
DOI: 10.1108/k-02-2013-0028.
You can read the full text:
Contributors
The following have contributed to this page