Advanced Partitional clustering: medoids, PAM and CLARA and lite versions

Поделиться
HTML-код
  • Опубликовано: 25 окт 2024

Комментарии • 12

  • @joaomota2434
    @joaomota2434 2 года назад +1

    Very good explanation teatcher Castro . Thanks from Brasil 🙏

  • @goffehoving5383
    @goffehoving5383 2 месяца назад

    Very nice video. Thanks a lot!

  • @louisleeboy
    @louisleeboy 2 года назад +1

    Very clearly than most of other videos!

  • @johneagle4384
    @johneagle4384 2 года назад +1

    Thank you. Very clear and concise.

  • @wesamalsohle5384
    @wesamalsohle5384 3 месяца назад

    Thanks for the tutorial!
    Do you make the slides publicly available?

  • @oboswo
    @oboswo 3 года назад +1

    Muchas gracias, super clara la explicación :D

  • @baldwinsiu6513
    @baldwinsiu6513 2 года назад +1

    could you please explain why Manhattan distance is used?

    • @MarioCastroPonce
      @MarioCastroPonce  2 года назад

      Typically when your variables are not measured in the same units it makes more sense to add up the values in each "dimension" rather than using the euclidean one which is more geometrical. Also, as the name suggests in cities where you travel by the streets not in a straight line

  • @bintangfikriguska8505
    @bintangfikriguska8505 3 года назад +1

    Good explanation!

  • @mohamedrefaat197
    @mohamedrefaat197 3 года назад +2

    Thanks for the tutorial!
    Do you make the code/slides publicly available?

    • @MarioCastroPonce
      @MarioCastroPonce  3 года назад +2

      Yes they are in my GitHub account github.com/mariocastro73/ML2020-2021