08-13, 14:30–15:10 (Asia/Yerevan), 113W PAB
Clustering analysis is a common task in data science but it can sometimes get tedious. In this talk, I will present how functionality from the package NetworkX can assist us in analyzing and presenting results of clustering analysis. This talk assumes no previous knowledge, a brief reminder of graph basics will be given and networkx will be shortly presented. Join in if you - - want to hear about a new suggested usage of a known data structure. - like to get things done more efficiently when you cluster. - never heard of networkx but would like to. - all of the above.
1. Graph basics reminder (5 minutes)
2. Networkx brief presentation(5-10 minutes)
3. Suggested ways to use networkx in clustering analysis (for example – visualization and automatically grouping similar clusters while keeping each of them independent) (~15 minutes)
4. Recap and Questions (5 mins tops)
No previous knowledge expected
Meirav Ben Izhak is a Senior AI Researcher at Salesforce. She holds an MSc in Bioinformatics which focused on the Microbiome but also included side projects in immunology and epidemiology.
During the past few years, she had the fortune to analyze various datasets as part of work and as side projects, including but not limited to election patterns, Cannabis DNA, cellular activity, and spontaneous conversations.
In her spare time, she promotes women in STEM, goes on hikes, and contributes to stock photography.