Abstract: Clustering is routinely applied in the exploratory analysis of microarray data. Missing entries arise from blemishes on the microarrays. The present invention provides a new method, and computer program and/or computer product thereof to impute missing values. The method involves the steps of clustering microarray data by partitioning the data into a select number of clusters, wherein each data point is iteratively moved from one cluster to another, until two consecutive iterations have resulted in the same partition pattern; obtaining a select number of estimates of the data in the clusters by probabilistic interference; and averaging the select number of estimates to obtain missing values in the microarray data. The method is superior to other imputation models as measured by root mean squared errors.