Internal cluster validity measures (such as the Calinski-Harabasz, Dunn, or Davies-Bouldin indices) are frequently used for selecting appropriate number of partitions a dataset should be split into. In this paper we consider what happens if treat such indices objective functions in unsupervised learning activities. Is optimal grouping with regards to, say, Silhouette index really meaningful? It...

The semantic valuations of classical logic, strong Kleene logic, the logic of paradox and the logic of first-degree entailment, all respect the Dunn conditions: we call them Dunn logics. In this paper, we study the interpolation properties of the Dunn logics and extensions of these logics to more expressive languages. We do so by relying on the Dunncalculus, a signed tableau calculus whose rule...

This study develops novel approaches to partition mixed data into natural groups, that is, clustering datasets containing both numeric and nominal attributes. Such data arises in many diverse applications. Our approach addresses two important issues regarding clustering mixed datasets. One is how to find the optimal number of clusters which is important because this is unknown in many applicati...

The purpose of this study was to identifY if the Hmong of Dunn County, Wisconsin have risk factors for developing type 2 diabetes mellitus. Thirty-one subjects (17 males aod 14 females) from 18-60 years old participated in the study. Data was collected at the Dunn County Supplemental Nutrition Program for Women, lnfaots, aod Children, aod Hmong Stout Student Organization of University of Wiscon...

D ow n The bright colors of birds are often attributed to sexual selection on males, but in many species both sexes are colorful and it has been long debated whether sexual selection can also explain this variation. We show that most evolutionary transitions in color have been toward similar plumage in both sexes, and the color of both sexes (for example, bright or dull) was associated with ind...

Problem statement: Clustering and visualizing high-dimensional dynamic data is a challenging problem. Most of the existing clustering algorithms are based on the static statistical relationship among data. Dynamic clustering is a mechanism to adopt and discover clusters in real time environments. There are many applications such as incremental data mining in data warehousing applications, senso...

PURPOSE The present work describes how vocabulary ability as assessed by 3 different forms of the Peabody Picture Vocabulary Test (PPVT; Dunn & Dunn, 1997) can be placed on a common latent metric through item response theory (IRT) modeling, by which valid comparisons of ability between samples or over time can then be made. METHOD Responses from 2,625 cases in a longitudinal study of 697 pers...