Test Bank for Data Clustering: Algorithms and Applications ,(1st Edition) by Charu C. Aggarwal

  • ISBN-10:  1466558210 / ISBN-13:  9781466558212
  • Ebook Details

    • Edition: 1st Edition
    • Format: Downloadable ZIP Fille
    • Resource Type : Testbank
    • Publication: 2013
    • Duration: Unlimited downloads
    • Delivery: Instant Download

    $35.00 $30.00

    SKU: 56daeffbfd3c Category:

    Table of content:

    An Introduction to Cluster Analysis Charu C. Aggarwal
    Feature Selection for Clustering: A Review Salem Alelyani, Jiliang Tang, and Huan Liu
    Probabilistic Models for Clustering Hongbo Deng and Jiawei Han
    A Survey of Partitional and Hierarchical Clustering Algorithms Chandan K. Reddy and Bhanukiran Vinzamuri
    Density-Based Clustering Martin Ester
    Grid-Based Clustering Wei Cheng, Wei Wang, and Sandra Batista
    Non-Negative Matrix Factorizations for Clustering: A Survey Tao Li and Chris Ding
    Spectral Clustering Jialu Liu and Jiawei Han
    Clustering High-Dimensional Data Arthur Zimek
    A Survey of Stream Clustering Algorithms Charu C. Aggarwal
    Big Data Clustering Hanghang Tong and U. Kang
    Clustering Categorical Data Bill Andreopoulos
    Document Clustering: The Next Frontier David C. Anastasiu, Andrea Tagarelli, and George Karypis
    Clustering Multimedia Data Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai, and Thomas S. Huang
    Time Series Data Clustering Dimitrios Kotsakos, Goce Trajcevski, Dimitrios Gunopulos, and Charu C. Aggarwal
    Clustering Biological Data Chandan K. Reddy, Mohammad Al Hasan, and Mohammed J. Zaki
    Network Clustering Srinivasan Parthasarathy and S.M. Faisal
    A Survey of Uncertain Data Clustering Algorithms Charu C. Aggarwal
    Concepts of Visual and Interactive Clustering Alexander Hinneburg
    Semi-Supervised Clustering Amrudin Agovic and Arindam Banerjee
    Alternative Clustering Analysis: A Review James Bailey
    Cluster Ensembles: Theory and Applications Joydeep Ghosh and Ayan Acharya
    Clustering Validation Measures Hui Xiong and Zhongmou Li
    Educational and Software Resources for Data Clustering Charu C. Aggarwal and Chandan K. Reddy


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