Essays about: "Modified K-means algorithm"

Found 3 essays containing the words Modified K-means algorithm.

  1. 1. An extended BIRCH-based clustering algorithm for large time-series datasets

    University essay from Mittuniversitetet/Avdelningen för informations- och kommunikationssystem

    Author : Jiahuan Lei; [2017]
    Keywords : Time series; Data stream; Clustering; BIRCH; DTW; DBA.;

    Abstract : Temporal data analysis and mining has attracted substantial interest due to theproliferation and ubiquity of time series in many fields. Time series clustering isone of the most popular mining methods, and many time series clustering algorithmsprimarily focus on detecting the clusters in a batch fashion that will use alot of memory space and thus limit the scalability and capability for large timeseries. READ MORE

  3. 2. Clusters Identification: Asymmetrical Case

    University essay from Informationssystem

    Author : Qian Mao; [2013]
    Keywords : Modified K-means algorithm; Nearest neighbor clustering; Kolmogorov-Smirnov-test; Hypothesis testing;

    Abstract : Cluster analysis is one of the typical tasks in Data Mining, and it groups data objects based only on information found in the data that describes the objects and their relationships. The purpose of this thesis is to verify a modified K-means algorithm in asymmetrical cases, which can be regarded as an extension to the research of Vladislav Valkovsky and Mikael Karlsson in Department of Informatics and Media. READ MORE

  4. 3. Clusters (k) Identification without Triangle Inequality : A newly modelled theory

    University essay from Institutionen för informatik och media

    Author : Naga Sambu Reddy Narreddy; Tuğrul Durgun; [2012]
    Keywords : K-means clustering; modifying K-means clustering; nearest neighbor clustering; general clustering procedure; Kolmogorov Simonov-test; parameters descriptions;

    Abstract : Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clusters).For example, cluster analysis can be applicable to find group of genes and proteins that are similar, to retrieve information from World Wide Web, and to identify locations that are prone to earthquakes. READ MORE