Showing 3 open source projects for "kai"

View related business solutions
  • Our Free Plans just got better! | Auth0 by Okta Icon
    Our Free Plans just got better! | Auth0 by Okta

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
    Try free now
  • Bright Data - All in One Platform for Proxies and Web Scraping Icon
    Bright Data - All in One Platform for Proxies and Web Scraping

    Say goodbye to blocks, restrictions, and CAPTCHAs

    Bright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
    Get Started
  • 1
    Isolation Similarity

    Isolation Similarity

    aNNE similarity based on Isolation Kernel

    ...). https://ojs.aaai.org//index.php/AAAI/article/view/4402 Bibtex format: @inproceedings{qin2019nearest, title={Nearest-neighbour-induced isolation similarity and its impact on density-based clustering}, author={Qin, Xiaoyu and Ting, Kai Ming and Zhu, Ye and Lee, Vincent CS}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={33}, pages={4755--4762}, year={2019} }
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Distance Scaling

    Distance Scaling

    A Distance Scaling Method to Improve Density-Based Clustering

    These functions implement a distance scaling method, proposed by Ye Zhu, Kai Ming Ting, and Maia Angelova, "A Distance Scaling Method to Improve Density-Based Clustering", in PAKDD2018 proceedings: https://doi.org/10.1007/978-3-319-93040-4_31.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    Clustering by Shared Subspaces

    Clustering by Shared Subspaces

    Grouping Points by Shared Subspaces for Effective Subspace Clustering

    These functions implement a subspace clustering algorithm, proposed by Ye Zhu, Kai Ming Ting, and Mark J. Carman: "Grouping Points by Shared Subspaces for Effective Subspace Clustering", Published in Pattern Recognition Journal at https://doi.org/10.1016/j.patcog.2018.05.027
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next