The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords' relation on Voronoi Diagram (VD). ...
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...