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Clustering is a useful technique that organizes a large quantity of unordered text documents into a small number of meaningful and coherent clusters, thereby providing a basis for intuitive and informative navigation and browsing mechanisms. Partitional clustering algorithms have been recognized to be more suitable as opposed to the hierarchical clustering(More)
Clustering is a technique of grouping data with analogous data content. In recent years, Density based clustering algorithms especially SNN clustering approach has gained high popularity in the field of data mining. It finds clusters of different size, density, and shape, in the presence of large amount of noise and outliers. SNN is widely used where large(More)
The goal is to design algorithms and a user interface for an automatic grammar checker for compositions in the style of Palestrina. This form of counterpoint forms the pedagogical foundation for composition classes today and consists of numerous well-defined rules. Checking for violation of these rules in a composition is a tedious task that can be(More)
During the past three years in Taiwan, we organized a series of Nightmarket Workshops to investigate Taiwanese sociocultural phenomena, and to provide cross-disciplinary environments for college students and practitioners to create interactive art pieces. In this process, we were intrigued by how the collaboration of art and science in the context of the(More)
Spatial working memory is a central cognitive process that matures through adolescence in conjunction with major changes in brain function and anatomy. Here we focused on late childhood and early adolescence to more closely examine the neural correlates of performance variability during this important transition period. Using a modified spatial 1-back task(More)
(Preliminary – please do not cite or quote.) Abstract: This paper investigates the relationship between socioeconomic status (SES) and the spread of SARS. I focus on the SARS infection rates in 295 large-scale Hong Kong housing complexes. Using pre-SARS property values as indicators of SES, I identify a negative SES-SARS link. I also find that density,(More)
New advances in genomic technology make it possible to address some of the most fundamental questions in biology for the first time. They also highlight a need for new approaches to analyze and model massive amounts of complex data. In this thesis, I present six research projects that illustrate the exciting interaction between high-throughput genomic(More)
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