rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: systolic architecture for hierarchical clustering
  name:
    name part: Ku, Long-Chian
    role:
      role term: creator
  name:
    name part: Drew, Dan D.
    role:
      role term: degree supervisor.
  name:
    name part: Friesen, Donald K.
    role:
      role term: degree committee member.
  name:
    name part: Morgan, Stephen M.
    role:
      role term: degree committee member.
  name:
    name part: Noe, Philip S.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1984
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: ix, 82 leaves : illustrations ; 29 cm
  abstract: Several hierarchical clustering methods (including single-linkage, complete-linkage, centroid, and absolute overlap methods) are reviewed. The absolute overlap clustering method is selected for the design of systolic architecture mainly due to its simplicity. Two versions of systolic architectures for the absolute overlap hierarchical clustering algorithm are proposed. A one dimensional version that leads to the development of a two dimensional version which fully takes advantage of the underlying data structure of the problems. The two dimensional systolic architecture can achieve a time complexity of O(m + n) in comparison to the conventional computer implementation of a time complexity of O(m('2)*n).
  note: "Major subject: Computer Science."
  note: Typescript (photocopy).
  note: Vita.
  note: Ph. D. in Philosophy Texas A & M University 1984
  note: Includes bibliographical references (leaves 76-81).
  subject:
    topic: Cluster analysis
  subject:
    topic: Computer architecture
  subject:
    topic: Computer Science
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-592366
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-592366
  record info:
    record content source: TXA
    record creation date: 870706
    record change date: 20220103135257.0
    record identifier: in00000577467
    language of cataloging:
      language term: eng