Sökning: "unsupervised cluster analysis"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden unsupervised cluster analysis.

  1. 1. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques

    Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Shehroz Khan; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Domain Adaptation; Evolving Clustering; Heterogeneous Data; Multi-View Clustering; Streaming Data; Computer Science; Datavetenskap;

    Sammanfattning : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. LÄS MER

  3. 2. Visualizing Cluster Patterns at Scale : A Model and a Library

    Författare :Elio Ventocilla; Maria Riveiro; Göran Falkman; Rafael M. Martins; Katerina Vrostou; Högskolan i Skövde; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Visual analytics; cluster patterns; big data; unsupervised learning; multidimensional projections; vector quantization; progressive visual analytics; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Large quantities of data are being collected and analyzed by companies and institutions, with the aim of extracting knowledge and value. When little is known about the data at hand, analysts engage in exploratory data analysis to achieve a better understanding. LÄS MER

  4. 3. cancer subtype identification using cluster analysis on high-dimensional omics data

    Författare :Linda Vidman; Patrik Rydén; Jun Yu; Erik Kristiansson; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; cluster analysis; cancer; classification;

    Sammanfattning : Identification and prediction of cancer subtypes are important parts in the development towards personalized medicine. By tailoring treatments, it is possible to decrease unnecessary suffering and reduce costs. Since the introduction of next generation sequencing techniques, the amount of data available for medical research has increased rapidly. LÄS MER

  5. 4. Spatial analysis and modeling of nerve fiber patterns

    Författare :Claes Andersson; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; hierarchical models; Bayesian estimation; epidermal nerve fibers; cluster processes; spatial point processes; diabetic neuropathy; Bayesian field theory; Diabetic neuropathies; Multilevel models Statistics ; Institutionen för matematiska vetenskaper. Tillämpad matematik och statistik.; CTH;

    Sammanfattning : Diabetic neuropathy is a condition associated with diabetes affecting the epidermal nerve fibers (ENFs). This thesis presents analysis methods and models for ENF data, with two main puroposes: to find early signs of diabetic neuropathy and to characterize how this condition changes the nerve fiber structure. LÄS MER

  7. 5. Data Modeling for Outlier Detection

    Författare :Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Anders Holst; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data modeling; cluster analysis; stream data; outlier detection;

    Sammanfattning : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. LÄS MER