03- R Machine Learning 👨🏻‍💻 K-medoids Clustering 📊 Beginner's Guide

Описание: Beginner's Guide to Machine Learning with R / Machine Learning with R Programming / Episode 03 / K-medoids Clustering

🟣 Table of Contents:
Another k-means clustering example on mtcars dataset
K-medoids algorithm history and definition
K-medoids clustering problem definition on Iris dataset
Introducing PAM algorithm (Partitioning Around Medoids)
Hands on experience and R codes for K-medoids algorithm

✍🏻 References:

🔸 K-means, K-medoids Slides from Carnegie Mellon University (By Ryan Tibshirani):
https://www.stat.cmu.edu/~ryantibs/da...

🔸 K-means Slides by MIT University (Massachusetts Institute of Technology): http://www.mit.edu/~9.54/fall14/slide...

🔸 Data Clustering with R (By Yanchang Zhao): https://www.webpages.uidaho.edu/~stev...

🌟 If you had any questions, feel free to contact me 🙋🏻‍♂️

💙 Support My Works via PayPal 👉 https://paypal.me/HamidrezaBolhasani 🌱😊🌸🙏🏻

❤️ My AliPay Account: 1-2059286288

🟢 If you like to support my non-profit activities like these free training materials or my activities for cancer society such as preparing cancer and biomedical datasets and related research, you can send your desired amount of cryptocurrencies to this Tron (TRX), Tether (USDT) or other addresses ⬇️:

TRX: TC6EXPXtRzsxxgQyoUoQJnRc5bjJLBJ9nB
USDT (ETH): 0x7fA09ecD09094e4deFE949D97afC79cfb05e46dE
USDT (SOL): 6Eza6QYw8xQJA8u3datiGhVq79QdNeKrFLQKXGy64L8F
USDT (TRX): TC6EXPXtRzsxxgQyoUoQJnRc5bjJLBJ9nB
BTC: bc1qchcwnr46ake249z509pcn2sp9tnm3v9hs8wwg6
ETH: 0x7fA09ecD09094e4deFE949D97afC79cfb05e46dE
ETC: 0x58E811AeD553e3A2c185463a1Fd8291511dE7A88
Polygon (POL): 0x7fA09ecD09094e4deFE949D97afC79cfb05e46dE
BNB: 0x7fA09ecD09094e4deFE949D97afC79cfb05e46dE
BSV: 1KMB77zCC5nyX31SY2EExWsqLuCNkgCprX
DOGE: DTLNcFoZQiWkwxXKMDbm4ejPYPJWjm6AJN

♥️ In case you need any alternative payment methods or 🌎 IBAN account details, feel free to contact me ✍🏻 [email protected]

Thanks! 😊🙋🏻‍♂️🌸📚☕️🌹🙏🏻
Hamidreza Bolhasani

در این مجموعه ویدیوها، به آموزش مقدماتی یادگیری ماشین با زبان برنامه نویسی آر پرداخته شده است. در ابتدا مفاهیم اولیه هوش مصنوعی، یادگیری ماشین و رگرسیون خطی با ذکر چند مثال ارائه میشود و در ادامه، کدهای مربوطه معرفی میشود.
فرصت هاي شغلي یادگیری ماشین
تحلیل داده