English  |  正體中文  |  简体中文  |  Items with full text/Total items : 67783/67783 (100%)
Visitors : 23069069      Online Users : 1224
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51516


    Title: A Novel Spectral Clustering Method Based on Pairwise Distance Matrix
    Authors: Chin,CF;Shih,ACC;Fan,KC
    Contributors: 資訊工程學系
    Date: 2010
    Issue Date: 2012-03-27 18:54:58 (UTC+8)
    Publisher: 國立中央大學
    Abstract: In general, the similarity measure is indispensable for most traditional spectral clustering algorithms since these algorithms typically begin with the pairwise similarity matrix of a given dataset. However, a general type of input for most clustering applications is the pairwise distance matrix. In this paper, we propose a distance-based spectral clustering method which makes no assumption on regarding both the suitable similarity measure and the prior-knowledge of cluster number. The kernel of distance-based spectral clustering is that the symmetric LoG weighted matrix constructed by applying the Laplace operator to the pairwise distance matrix. The main difference from the traditional spectral clustering is that the pairwise distance matrix can be directly employed without transformation as a similarity pairwise matrix in advance. Moreover, the inter-cluster structure is embedded and the intra-cluster pairwise relationships are maximized in the proposed method to increase the discrimination capability on extracting clusters. Experiments were conducted on different types of test datasets and the results demonstrate the correctness of the extracted clusters. Furthermore, the proposed method is also verified to be robust to noisy datasets.
    Relation: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
    Appears in Collections:[資訊工程學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML218View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明