YoVDO

A Cost Function for Similarity-Based Hierarchical Clustering

Offered By: Simons Institute via YouTube

Tags

Hierarchical Clustering Courses Machine Learning Courses Clustering Algorithms Courses

Course Description

Overview

Explore a comprehensive lecture on hierarchical clustering algorithms and their cost functions, presented by Sanjoy Dasgupta from UC San Diego. Delve into the computational challenges in machine learning, focusing on similarity-based hierarchical clustering methods. Gain insights into the development and analysis of cost functions that evaluate the quality of hierarchical clusterings, and understand their implications for improving clustering algorithms. Learn about the latest advancements in this field and their potential applications in various domains of data analysis and machine learning.

Syllabus

A Cost Function for Similarity-Based Hierarchical Clustering


Taught by

Simons Institute

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent