Essays about: "partitional clustering"

Found 3 essays containing the words partitional clustering.

  1. 1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  3. 2. Classify part of day and snow on the load of timber stacks : A comparative study between partitional clustering and competitive learning

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : My Nordqvist; [2021]
    Keywords : Machine Learning ML ; Unsupervised Learning; Cluster Analysis; Partitional Clustering; Competitive Learning; Dimensionality Reduction; Principal Component Analysis PCA ; K-means; Kohonen Self-Organizing Map SOM ; Timber;

    Abstract : In today's society, companies are trying to find ways to utilize all the data they have, which considers valuable information and insights to make better decisions. This includes data used to keeping track of timber that flows between forest and industry. READ MORE

  4. 3. Development of a hierarchical k-selecting clustering algorithm – application to allergy.

    University essay from Institutionen för fysik, kemi och biologi

    Author : Patrik Malm; [2007]
    Keywords : bioinformatics; partitional clustering; hierarchical clustering; allergy; crossreactivity;

    Abstract : The objective with this Master’s thesis was to develop, implement and evaluate an iterative procedure for hierarchical clustering with good overall performance which also merges features of certain already described algorithms into a single integrated package. An accordingly built tool was then applied to an allergen IgE-reactivity data set. READ MORE