One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Abstract. Design defects are poor design choices resulting in a hard-tomaintain software, hence their detection and correction are key steps of a disciplined software process aimed...
Value creation from e-business for customers in healthcare is an important topic in academic and practitioner circles. This paper reports the findings from a two-year research stu...
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...