The K-means algorithm is usually widely used in cluster analysis, but it is easily disturbed when dealing with data containing outliers.

The k-means algorithm is often used in clustering applications but its usage requires a complete data matrix. Missing data, however, are common in many applications. Mainstream approaches to ...