Classifying Universities in Turkey by Hierarchical Cluster Analysis

A New Approach for Classifying Chilean Universities

Using hierarchical cluster analysis in nursing research.

This article is a pedagogical piece on hierarchical cluster analysis, a method for investigating the structure underlying data. Such methods are useful for finding similar groups of cases in data sets when it is not known a priori how many groups are present. The article is laid out asfollows: First, a brief history and overview of the methods is presented; second, an illustrative example with ...

Image segmentation by histogram thresholding using hierarchical cluster analysis

This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method. 2006 Elsevier B.V. All rights reserved.

Emotion Annotation Using Hierarchical Aligned Cluster Analysis

The correctness of annotation is quite important in supervised learning, especially in electroencephalography(EEG)-based emotion recognition. The conventional EEG annotations for emotion recognition are based on the feedback like questionnaires about emotion elicitation from subjects. However, these methods are subjective and divorced from experiment data, which lead to inaccurate annotations. ...

Classifying Video Documents by Hierarchical Structure of Video Contents

Recent advances in video database technology and increasing use of the World Wide Web allow users to access video documents on the Web. Moreover, advances in digital library technologies necessitate the storing of large quantities of video documents. Consequently, video documents must be categorized to assist the user in browsing and searching them by category. This study presents a novel appro...