Cluster analysis divides data into meaningful or useful groups (clusters). If meaningful clusters are the people objective, then the resulting clusters should capture the \"Natural\" structure of the data. Cluster analysis divides data into groups (clusters) for the purposes of summarization or improved understanding. For example, cluster analysis has been used to group related documents for browsing, to find genes and proteins that have similar functionality, or as a means of data compression. In this paper, the authors provide a short introduction to cluster analysis. They present a brief view of recent techniques which uses a concept-based clustering approach.