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 12 of 12 for “"Agglomerative hierarchical clustering"”.
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Robust curved road boundary identification using hierarchical clustering.
… ranked list of possible road boundaries through agglomerative hierarchical clustering of edge segments. Each node in the hierarchical clustering is a potential road boundary. Top ranked road boundaries are paired with each other to identify potential road regions. The road regions are then ranked …
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Quantification of sugars and organic acids in 210 cucumber (cucurbis sativus) varieties for genome-wide association studies (GWAS)
… in 210 GWAS cucumber samples. A histogram and Agglomerative Hierarchical Clustering (AHC) were performed for each measured variable. The °Brix ranged from 1% – 4.6%. The content of fructose, glucose, and sucrose ranged from 2.88 - 62.28 mg/mL, 3.99 – 63.99 mg/mL, and 0.05 – 13.73 mg/mL, …
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Quantification of acid loads and delineation of hydrochemical facies at a phreatic mine spoil aquifer
… for estimating acid loads.;Results of agglomerative hierarchical clustering were mapped to demonstrate spatial variations in response to reclamation efforts over time. Spatial patterns were determined and indicate that aquifer chemistry continued to evolve during the study period. …
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Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems
… intelligence techniques, particularly clustering and adaptive dynamic programming (ADP) designs especially heuristic dynamic programming (HDP) and dual heuristic programming (DHP). Moreover, a one-step temporal-difference (TD(0)) and <em>n</em>-step TD (TD(λ)) with their gradients are …
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Instrumental and Chemometric Analysis of Automotive Clear Coat Paints by Micro Laser Raman and UV Microspectrophotometry
… or a quartz slide with no cover slip for MSP. Agglomerative hierarchical clustering suggested three classes of spectra, and principal component analysis confirmed this. Factor loadings for the Raman data illustrated that much of the variance between spectra came from specific regions (400 – 465 …
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Chemometrics applied to the discrimination of synthetic fibers by microspectrophotometry
… dyes were discriminated from one another using agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and discriminant analysis (DA). AHC and PCA results agreed showing similar spectra clustering close to one another. DA analysis indicated a total classification …
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Spatio-Temporal Dynamics Of Phytoplankton Biomass From Ocean Color Remote Sensing And Cmip5 Model Suites
… events. Chapter 3 uses statistical techniques (agglomerative hierarchical clustering (AHC), empirical orthogonal functional analysis (EOF)) on phytoplankton biomass to characterize ENSO “flavors” in the tropical Pacific. For the first time, we empirically derive biological indices for different …
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Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions
… we have used algorithm-based and expert-based clustering. Algorithm-based clustering such as K-means, DBSCAN, agglomerative hierarchical clustering algorithms. For expert-based clustering, we use expert knowledge to group datasets based on the important features which are selected by experts. …
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Micro-climate modelling and engineering design for a horticultural grow-cell prototype
… In particular, use of statistical clustering techniques are investigated for the partitioning of indoor environment into a number of zones that have a relatively uniform thermal behaviour. The quantitative data-driven approach proposed here, first characterizes the system dynamics …
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The behaviour of style anomalies on the Australian Stock Exchange : a univariate and multivariate analysis
… simplified using correlation analysis and an agglomerative hierarchical clustering algorithm, resulting in a list of 27 variables that are not highly correlated with each other. These characteristics are divided into nine interpretation groups or combinations thereof, namely: (1) Liquidity; …
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Swarm Unmanned Aerial Vehicle Networks in Wireless Communications: Routing Protocol, Multicast, and Data Exchange
… flooding-based routing protocol leveraging clustering is designed, where the whole UAV network will be partitioned into multiple clusters and in each cluster only one UAV will be selected as the representative of this cluster, participating in the flooding-based routing process. By this way, …
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The chemical and physical characterisation of illicit tablets and development of a statistical model to identify populations within the illegal supply chain
… resulting data. <br/><br/><br/>The statistical clustering techniques of AHC and k-means were used to explore combined results and potential links between a subset of cases were visualised in a heat map. DSC data points were then explored by PCA and LDA to further distinguish between the …