The concept of similarity is used as the basis for many data exploration and data mining tasks. Nearest Neighbor (NN) queries identify the most similar items, or in terms of distance the closest points to a query point. Similarity is traditionally characterized using a distance function between multi-dimensional feature vectors. However, when the data is high-dimensional, traditional distance f...

In this paper, similarity hypotheses for the atmospheric surface layer (ASL) are reviewed using nondimensional characteristic invariants, referred to as -numbers. The basic idea of this dimensional -invariants analysis (sometimes also called Buckingham’s -theorem) is described in a mathematically generalized formalism. To illustrate the task of this powerful method and how it can be applied to ...

Visualizations of music databases are a popular form of interface allowing intuitive exploration of music catalogs. They are often based on lower dimensional projections of high dimensional music similarity spaces. Such similarity spaces have already been shown to be negatively impacted by so-called hubs and anti-hubs. These are points that appear very close or very far to many other data point...

Computing similarity between all pairs of patients in a dataset enables us to group the subjects into disease subtypes and infer their disease status. However, robust and efficient computation of pairwise similarity is a challenging task for large-scale medical image datasets. We specifically target diseases where multiple subtypes of pathology present simultaneously, rendering the definition o...

Previous research has demonstrated that similarity judgements are context specific, as they are shaped by cultural exposure, familiarity, and the musical aesthetic of the content being compared. Although such research suggests that the criterion for similarity judgement varies with respect to the musical style of the content being compared, the specific musical factors which shape this criterio...

We present DKPro Similarity, an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. DKPro Similarity comprises a wide variety of measures ranging from ones based on simple n-grams and common subsequences to high-dimensional vector comparisons and structural, stylistic, and p...

Abstract. Idealized models of the atmospheric boundary layer (ABL) can be used to leverage understanding interaction between ABL and wind farms towards improvement farm flow modeling. We propose a pressure-driven one-dimensional model without veer, which as an inflow for three-dimensional simulations separately demonstrate impact veer depth. The is derived from horizontal momentum equations fol...