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Improving K-Means Clustering via Simple Iterative Optimization

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

K-Means Clustering Courses Data Analysis Courses Machine Learning Courses Clustering Algorithms Courses

Course Description

Overview

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Explore innovative approaches to enhance k-means clustering through simple iterative optimization techniques in this 40-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2024. Delve into Jason Xu's research on improving the popular clustering algorithm, drawing insights from related papers on power k-means clustering, sparse k-means clustering via feature ranking, and entropy-weighted power k-means clustering. Gain valuable knowledge on advanced clustering methods and their applications in computational genomics and machine learning.

Syllabus

Jason Xu | Improving k means clustering via simple iterative optimization | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

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