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Multidimensional scaling (MDS) is a widely used technique for mapping data from a high-dimensional to a lower-dimensional space and for visualizing data. Recently, a new method, known as Geometric MDS, has been developed to minimize the MDS stress ...

We develop a mathematical and numerical framework to solve state estimation problems for applications that present variations in the shape of the spatial domain. This situation arises typically in a biomedical context where inverse problems are posed on ...

A growing literature on ideology estimation through scaling methods in social networks restricts the scaling procedure to nodes that provide interpretability of the resulting feature space. On Twitter, for example, it is common to consider the sub-...

This paper offers a synthesis of a new analytical procedure based on the complementary use of a large number of methods and techniques for categorisation of objects, pattern recognition and for structural analysis. It represents an example of a ...

Industrial applications can benefit considerably from the overwhelming amount of still growing resources such as websites, images, texts, and videos that the internet offers today. The resulting Big Data Problem does not only consist of handling this ...

Situational case-based teaching is one of promising teaching strategies in engineering education, e.g., computer science and information security. This strategy is student-centered and can reinforce practical experience and context-aware problem ...

We present a method for visualizing and analyzing card sorting data aiming to develop an in-depth and effective information architecture and navigation structure. One of the well-known clustering techniques for analyzing large data sets is with the k-...

Software birthmarks are a class of software metrics designed to identify copies of software. An article published in 2006 examined additional applications of software birthmarks. The article described an experiment using software birthmarks to identify ...

In this study, we seek to develop an analytic method to set key educational skills (ESs), using a student self-assessment questionnaire. It is difficult to set key academic skills for classes since few systematic methods are available. A survey ...

Data Analysts have to deal with an ever-growing amount of data resources. One way to make sense of this data is to extract features and use clustering algorithms to group items according to a similarity measure. Algorithm developers are challenged when ...

We present a method for calibration-free, infrastructure-free localization in sensor networks. Our strategy is to estimate node positions and noise distributions of all links in the network simultaneously - a strategy that has not been attempted thus ...

We introduce time curves as a general approach for visualizing patterns of evolution in temporal data. Examples of such patterns include slow and regular progressions, large sudden changes, and reversals to previous states. These patterns can be of ...

We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-reduced data. Projection techniques generally aim to make a high-dimensional information space visible in form of a planar layout. However, the meaning of ...

It is well known that bankruptcy patterns are different across the industries, and consequently most studies focused on a given business sector or sub-sector. However, in some real world applications the bankruptcy patterns are likely constructed based on ...

In this paper, through the analysis of the distributed weighted multidimensional scale localisation algorithm, we propose dwMDSBCC Distributed Weighted Multidimensional Scaling Localisation Algorithm Based on Bacterial Colony Chemotaxis Optimisation, ...

Nodes positioning has recently been of great interest in wireless networks owing to its crucial role in many applications. In wireless sensor networks WSNs, the task of localising sensor nodes with unknown position is important for efficient network ...

Multidimensional scaling is a fundamental analysis technique in the broad sciences that takes as input a matrix of distances or dissimilarities between items and returns a configuration of points in Euclidean space such that the interpoint distances ...

Identifying prestigious interdisciplinary journals is very significant for researchers. By publishing research works in prestigious journals, researchers can better propagate their works and get spotlights. Even though the quality of a paper is not ...

A set of candidate genes for schizophrenia are selected and the chromosomal region around them (+/-3mb) is explored. The genes/ORF's in the vicinity of the candidate genes are searched for their properties using Gene Ontology. The data is processed and ...

We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the "best" one? and the second one is: which algorithm should I use for my real-world problem? Both are connected ...