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.
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Showing 1 to 7 of 7 for “"Dissimilarity measures"”.
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Strings in proteomics and transcriptomics : algorithmic and combinatorial questions in mass spectrometry and EST clustering
… of the clustering is highly dependent on the dissimilarity measure (distance/similarity measure) for strings and on the clustering algorithm employed. We have developed a method for evaluating different string dissimilarity measures and clustering algorithms. Finally, we present simulation …
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Investigating functional data with sharp local features with applications to spectroscopy
… problem is to define an efficient measure of the dissimilarity between the spectra. Indeed, a given peak in a dataset of spectra might be affected by vertical amplifications, horizontal shifts or both simultaneously, the source of those variations possibly being a significant chemical difference …
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Implementation of Multiple-Instance Learning in Drug Activity Prediction
… instance-based embedding using calculated dissimilarity distances. Four dissimilarity measures were employed and their performances were compared. 1-norm SVM was used for joint feature selection and classification. The approach was applied to four data sets, and the best proposed model for …
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Clustering, coverage and aggregation methods for large networks
… problem, with the goal of minimizing a dissimilarity function that captures the distance between the representative and the original graphs. We propose a class of dissimilarity measures and introduce the notion of composite graph sets allowing us to compare directed weighted graphs that …
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Detection of denial-of-service attacks based on computer vision techniques
… attack detection system applies a widely used dissimilarity measure, namely the Earth Mover’s Distance (EMD), to object classification. The EMD takes cross-bin matching into account and provides a more accurate evaluation on the dissimilarity between distributions than some other well-known …
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Metagenomic Data Analysis Using Extremely Randomized Tree Algorithm
… use comparisons which are limited to similarity/dissimilarity analyses. However, in such analyses, the discriminatory ARGs (associated ARGs driving such similarity/ dissimilarity measures) may not be identified. Consequentially, the reason which drives the dissimilarities among the samples would …
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Categorização de dados quantitativos para estudos de diversidade genética
O estudo da divergência genética é uma ferramenta importante na identificação de indivíduos geneticamente divergentes que, ao serem combinados, possam aumentar o efeito heterótico na progênie. Uma técnica estatística muito aplicada nesse tipo de estudo é a análise de agrupamento. Entretanto, antes …