This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the ...

The results are compared from using different hierarchical clustering algorithms with various input parameters and configurations using two types of ...

– This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the Content-Based ...

Abstract: This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the ...

In modern CBIR systems, statistical clustering and classification methods are often used to extract visual features, index the feature space, and classify ...

This cluster-based CBIR system utilizes an agglomerative hierarchical clustering to group images into visually separable clusters within the dataset.

We have used two clustering algorithms, the hierarchical and the K-means clustering algorithms to group the images into clusters based on the color content.

In CBIR technique, the images are retrieved from the dataset by using the features like color, text, shape, texture and similarity. Object recognition technique ...

The proposed procedure consists of two stages. First, here we are going to filter most of the images in the hierarchical clustering and then apply the clustered ...

The image database is hierarchically organized by two stages: scene-level clustering and sub-scene-level clustering. In scene-level clustering, an improved ...