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Segmentation Without Distances Using NMF

July 8, 2019 @ 6:30 pm - 8:00 pm

About the Event:

Working with high dimensional data? Often facing the need to group observations? This presentation is for you.

Segmentation should be balanced and distinctive, the discovered over- and under-indexed features within segments should create a meaningful story, and, ideally, the amount of differentiative factors that drives segmentation should be small.

The last requirement often becomes a bottleneck in a survey where respondents are asked an enormous amount of questions. One solution is the nonnegative matrix factorization that, in one attempt, segments respondents and their features! The concept of the NMF decomposition and applications in R will be presented with the explanation of diagnostic plots.

The 30-minute presentation will be followed by a 60-minute workshop, so bring your laptops!

About the Speaker:

Marcin Kosiński has a master’s degree in mathematical statistics and data analysis. He is a challenge-seeker and devoted R language enthusiast. In the past, he was keen on the field of large-scale online learning and various approaches to personalized news article recommendation. He hosts community events and is the organizer of Why R? conferences. Interested in R packages development and survival analysis models, Kosiński currently explores and improves methods for quantitative marketing analyses and global surveys at Gradient Metrics.

Language: English


July 8, 2019
6:30 pm - 8:00 pm
Event Categories:


Akian College of Science and Engineering (CSE)
+374 60 69 40 40; +374 60 61 26 38


308E, PAB
Baghramyan 40
Yerevan, Armenia
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