In cluster-based segmentation pixels are mapped into various feature-spaces whereupon they are subjected to a grouping-algorithm. In this paper we develop a robust and versatile non-parametric clustering algorithm that is able to handle the unbalanced and irregular clusters encountered in such segmentationapplications. The strength of our approach lies in the de nition and use of two cluster-va...

Objectives: The aim of the present study was to reconstruct determining validity, and score The Stanford Diagnostic Reading Test fourth edition (SDRT4) in the sixth grade students. Methods: The population of the study was all sixth grades of the 19 educational districts from Tehran, 571 students (255 boys and 316 girls) were selected by using a random multi-cluster sampling. The data were an...

In this paper, we implement and compare three different clustering algorithms for the purpose of 3D image segmentation. Specifically, the K-means, Mean Shift, and Hierarchical methods are studied, and their performance is compared using cluster validity methods. Performance was analyzed in two ways, first by comparing independent results from each, and second, by comparing results where Hierarc...

The goal of this presentation is to give a deeper insight into the large data sets of the C-horizon and the O-horizon soil samples with the help of cluster analysis and fuzzy cluster analysis. These mineral soil samples were taken from a big area in the course of a regional study in the European Arctic. An overview of the Kola data project can be found on the web site http://www.ngu.no/Kola. Th...

A common challenge for most spatial cluster detection methods is the lack of asymptotic properties to support their validity. As the spatial scan test is the most often used cluster detection method, we investigate two important properties in the method: the consistency and asymptotic local efficiency. We address the consistency by showing that the detected cluster converges to the true cluster...

Background: Personality functioning has moved into the focus of psychiatric diagnosis since DSM-5 has introduced the Levels of Personality Functioning Scale for the assessments of personality disorders (PD). The 100-item Structured Interview of Personality Organization (STIPO) was developed for diagnosing personality functioning. The STIPO covers seven dimensions: (1) identity, (2) object relat...

When clustering algorithms are applied to image seg-mentation, the goal is to solve a classification problem. However, these algorithms do not directly optimize classification quality. As a result, they are susceptible to two problems: P1) the criterion they optimize may not be a good estimator of " true " classification quality, and P2) they often admit many (suboptha€) solutions. This paper i...

Web log mining is analysis of web log files with web page sequences. Discovering user access patterns from web access are necessary for building adaptive web servers, to improve e-commerce, to carry out cross-marketing, for web personalization, to predict web access sequence etc. In this paper, a new agglomerative clustering technique is proposed to identify users with similar interest, and to ...

OBJECTIVE To determine the reproducibility and validity of the DynaPort KneeTest, a performance-based test that measures quality of movement of patients undergoing total knee replacement (TKR). METHODS A total of 92 patients with osteoarthritis (OA) of the knee performed the KneeTest twice on the same day; 94 healthy controls performed the KneeTest once. During the test, 29 activities were pe...

In this paper we present a method to detect natural groups in a data set, based on hierarchical clustering. A measure of the meaningfulness of clusters, derived from a background model assuming no class structure in the data, provides a way to compare clusters, and leads to a cluster validity criterion. This criterion is applied to every cluster in the nested structure. While all clusters passi...