K-means Clustering Algorithm Dimensionality Problem

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.