Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 18 of 18 for “"Clusterings"”.
-
Biological Networks: Modeling and Structural Analysis
… We discuss the various requirements that clusterings of biological networks are required to satisfy, design an algorithm for computing a clustering, and show that our clustering approach is robust and scalable. Moreover, we design a new algorithm to compute overlapping clustering rather …
-
Bayesian cluster validation
… based on Bayesian principles for validating clusterings and present efficient algorithms for use with centroid or exemplar based clustering solutions. Our framework treats the data as fixed and introduces perturbations into the clustering procedure. In our algorithms, we scale the distances …
-
Symbolic clustering
… problems, and because there are many possible clusterings for any data set, clustering programs use knowledge and assumptions about individual problems to make clustering tractable. Cluster analysis techniques allow knowledge to be expressed in the choice of a pairwise distance measure and in …
-
Using On-line Analytical Processing (OLAP) and data mining to estimate emergency room activity in DoD Medical Treatment Facilities in the Tricare Central Region
… groups by classifications, associations, and clusterings to transform previously meaningless data into useful information. This research presents a brief overview of the DoD medical system, OLAP, and data mining. OLAP and data mining tools then analyze a data set containing two years of MTF ER …
-
Clustering strategies for object databases
… of those constructs in terms of theoretical clusterings strategies to produce actual clustering arrangements. This analysis results in a greater understanding of object clustering strategies, aiding designers in the development process and providing some valuable rules of thumb to support the …
-
Parameterfreies hierarchisches Graph-Clustering-Verfahren zur Interpretation raumbezogener Daten
… in der Hierarchie auf das Ergebnis des Clusterings, und es wird die Verwendbarkeit des HPGCL-Algorithmus auf der Grundlage von verschiedenen Datensatztypen evaluiert. Anhand zweier Datensätze werden die Ergebnisse des HPGCL-Verfahrens mit den Resultaten eines durch Testpersonen …
-
Statistical methods for multi-omic data integration
… a range of kernel methods to obtain summary clusterings, and, if we have multiple PSMs, use standard methods for combining kernels in order to perform integrative clustering. We also show that one can embed PSMs within predictive kernel models in order to perform outcome-guided clustering.
-
Complex data analytics via sparse, low-rank matrix approximation
… compared with other leading approximate spectral clusterings; 5) we develop a fast algorithm to detect abnormal crowd behavior in surveillance videos by employing low-rank matrix approximations to model crowd behavior patterns; through experiments performed on simulation crowd</p> <p>videos, we …
-
Large-scale consensus clustering and data ownership considerations for medical applications
… of Consensus Clustering which allows multiple clusterings to be merged into a single ensemble clustering. Here, we scale one existing consensus clustering algorithm, which relies on EM for multinomial mixture models. We also develop and implement a more general framework for retrofitting any …
-
Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data
… with different initializations as its base clusterings in order to reduce the impact of noises and improve accuracy and stability in general. The improved fuzzy clustering approach uses new weighted fuzzy techniques in computing cluster centers and assigning feature vectors, to avoid or …
-
Determining and characterizing immunological self/non-self
… clustering. Results show that the locality clusterings for HIV-1, HIV-2 and Influenza A virus at the 5-mer, 6-mer and 7-mer levels are statistically significant. Also, for self-similarity of human protein Desmoglein 3 to the remaining human proteome, it shows that the locality clustering is …
-
Pathogen evolution within and between hosts with applications to the pneumococcus and SARS-CoV-2
… model is shown to produce accurate genome clusterings 10-100 times faster than existing methods. Next, the problem of identifying the pangenome (the set of all genes that have been found in a species) is considered and a method is presented that is able to reduce by over 10 fold the number …
-
Structures, processes, and clustering of complex networks
… be found that has a higher-modularity than the clusterings reported in the literature; a set of 96 tumors that are clustered by their gene-similarity; and clustered topics of 27000 EU-funded R&D projects.
-
Clustering biological data by unraveling hidden transitive substructures
… and (3) the calculation of overlapping clusterings. These extensions widen the applicability of TC and provide features that distinguish TC from other bioinformatics alternatives. The flexibility of TC makes it suitable for various real-world applications. In this work, we concentrate on …
-
Three Essays in Financial Econometrics
… components through Hierarchical K-means Clusterings. We apply our methodology to CRSP (Center for Research in Security Prices) and Compustat data for the US stock market with one-year rolling windows during 1967-2017. This empirical study shows the presence of mispricing functions in …
-
Semiparametric Characteristics-based Models of Asset Returns
… components through Hierarchical K-means Clusterings. We apply our methodology to CRSP (Center for Research in Security Prices) and Compustat data for the US stock market with one-year rolling windows during 1967-2017. This empirical study shows the presence of mispricing functions in …
-
DiSH: Democracy in State Houses
<p>In our current political climate, state level legislators have become increasingly impor- tant. Due to cuts in funding and growing focus at the national level, public oversight for these legislators has drastically decreased. This makes it difficult for citizens and activists to understand the …