Sökning: "Clustering Algorithm"

Visar resultat 6 - 10 av 99 avhandlingar innehållade orden Clustering Algorithm.

1. 6. Consensus Algorithms for Trees and Strings

   Författare :Jesper Jansson; Institutionen för datavetenskap; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; numerical analysis; computational complexity; Approximation algorithm; labeled tree; lowest common ancestor constraint; maximum agreement subtree; alignment between trees; clustering; Computer science; Hamming metric; systems; control; Datalogi; numerisk analys; system; kontroll;

   Sammanfattning : This thesis studies the computational complexity and polynomial-time approximability of a number of discrete combinatorial optimization problems involving labeled trees and strings. The problems considered have applications to computational molecular biology, pattern matching, and many other areas of computer science. LÄS MER

3. 7. On the Size and Shape of Polymers and Polymer Complexes : A Computational and Light Scattering Study

   Författare :Tomas Edvinsson; Terence Cosgrove; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Physics; Monte Carlo simulations; grafted polymers; shape description; folding complexity; clustering; percolation algorithm; light scattering; end-capped polymers; inclusion complexes; Fysik; Physics; Fysik; Physical Chemistry; Fysikalisk kemi;

   Sammanfattning : Detailed characterization of size and shape of polymers, and development of methods to elucidate the mechanisms behind shape transitions are central issues in this thesis. In particular we characterize grafted polymer chains under confinement in terms of the chain entanglement complexity and mean molecular size. LÄS MER

4. 8. Resource-Aware and Personalized Federated Learning via Clustering Analysis

   Författare :Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio; György Dán; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Federated Learning; Clustering Analysis; Eccentricity Analysis; Non- IID Data; Model Personalization; Computer Science; Datavetenskap;

   Sammanfattning : Today’s advancement in Artificial Intelligence (AI) enables training Machine Learning (ML) models on the daily-produced data by connected edge devices. To make the most of the data stored on the device, conventional ML approaches require gathering all individual data sets and transferring them to a central location to train a common model. LÄS MER

5. 9. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations

   Författare :Jessica Franzén; Daniel Thorburn; Jukka Corander; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cluster analysis; Clustering; Classification; Mixture model; Gaussian; Bayesian inference; MCMC; Gibbs sampler; Deviant group; Longitudinal; Missing data; Multiple imputation; Statistics; Statistik; Statistics; statistik;

   Sammanfattning : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. LÄS MER

7. 10. Detection and Classification in Electrocardiac Signals

   Författare :Magnus Åström; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal processing; morphology classification; QRS detection; ischemia; body position changes; electrogram; ECG; electrocardiogram; clustering; classification; Detection; sensing;

   Sammanfattning : Signal processing can be used to condition medical signals to facilitate their interpretation, and to extract clinically important information. The purpose of the present doctoral thesis is to put forward solutions to certain problems encountered in the processing of electrocardiac signals. LÄS MER