Sciweavers

    298 search results - page 1 / 60
    » Subspace Clustering of High Dimensional Data
    Sort
    View
    SDM
    2004
    SIAM
    253views Data Mining» more  SDM 2004»
    Density-Connected Subspace Clustering for High-Dimensional Data
    13 years 5 months ago
    Density-Connected Subspace Clustering for High-Dimensional Data
    Download  www.dbs.informatik.uni-muenchen.de
    Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
    Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
    claim paper
    Read More »
    SIGMOD
    1998
    ACM
    233views Database» more  SIGMOD 1998»
    Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    13 years 8 months ago
    Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    Download  www.cs.cornell.edu
    Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
    Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
    claim paper
    Read More »
    CORR
    2010
    Springer
    219views Education» more  CORR 2010»
    Clustering high dimensional data using subspace and projected clustering algorithms
    13 years 4 months ago
    Clustering high dimensional data using subspace and projected clustering algorithms
    Download  airccse.org
    : Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
    Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
    claim paper
    Read More »
    ECML
    2006
    Springer
    135views Machine Learning» more  ECML 2006»
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    13 years 8 months ago
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    Download  cs.gmu.edu
    A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
    Bojun Yan, Carlotta Domeniconi
    claim paper
    Read More »
    SDM
    2004
    SIAM
    162views Data Mining» more  SDM 2004»
    Subspace Clustering of High Dimensional Data
    13 years 5 months ago
    Subspace Clustering of High Dimensional Data
    Download  alumni.cs.ucr.edu
    Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
    Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.