Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR)

This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the Content-Based Image Retrieval (CBIR). The study has the purpose to compare the obtained results from using different hierarchical clustering algorithms with various input parameters and configurations using two types of comparison techniques. The aims is also to highlight the performance improvements and the costs brought up by the integration of such techniques in the content-based image retrieval.