Search for dissertations about: "clustering algorithms"

Showing result 1 - 5 of 95 swedish dissertations containing the words clustering algorithms.

  2. 1. Data Stream Mining and Analysis : Clustering Evolving Data

    Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

    Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE

  4. 2. Graph Partitioning and Planted Partitions

    Author : Mikael Onsjö; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; planted partition; graph bisection; algorithms; graphs; graph partitioning; clustering;

    Abstract : Graph partitioning is the problem of splitting a graph into two or morepartitions of fixed sizes while minimizing the number of edges that are “cut”.This is an important problem with a wide range of applications in fields suchas VLSI design, parallel processing, bioinformatics, data mining etc. READ MORE

  5. 3. Consensus Algorithms for Trees and Strings

    Author : Jesper Jansson; Institutionen för datavetenskap; []
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 4. Efficient Approximate Big Data Clustering: Distributed and Parallel Algorithms in the Spectrum of IoT Architectures

    Author : Amir Keramatian; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Approximation-based synopsis; Clustering; distributed and parallel processing;

    Abstract : Clustering, the task of grouping together similar items, is a frequently used method for processing data, with numerous applications. Clustering the data generated by sensors in the Internet of Things, for instance, can be useful for monitoring and making control decisions. READ MORE

  7. 5. Computational discovery of DNA methylation patterns as biomarkers of ageing, cancer, and mental disorders : Algorithms and Tools

    Author : Behrooz Torabi Moghadam; Jan Komorowski; Manfred Grabherr; Jaak Vilo; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; DNA methylation; machine learning; biomarker; cancer; ageing; classification;

    Abstract : Epigenetics refers to the mitotically heritable modifications in gene expression without a change in the genetic code. A combination of molecular, chemical and environmental factors constituting the epigenome is involved, together with the genome, in setting up the unique functionality of each cell type. READ MORE