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DESCRIPTION:Algorithmic advances on metric and graph clustering (Part 1)
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/205/algorithmic-advances-on-metric-and-graph-clustering-part-1/
SUMMARY:Clustering algorithms are at the core of unsupervised machine learning and data analysis techniques.
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Given a set of data elements, the goal of a clustering is to partition a dataset in such a way that
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data elements in the same part are more similar to each other than data elements in different parts.
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Clustering problems arise in large variety of applications ranging from bioinformatics to computer vision
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and as such are very basic problems.
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In these two talks, we will present both metric clustering (Part 1) and graph clustering (Part 2) problems.
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We will first illustrate some recent advances in the complexity of the classic k-median and k-means problems,
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two popular objective functions for metric clustering, via some recent developments on the fixed-parameter
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tractability of the objectives and hardness of approximation. We will then describe new approximation algorithms
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for metric hierarchical clustering.
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In the second part of the talks, we will present a new perspective on the classic correlation clustering
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objective that leads to new efficient distributed algorithms for the problem, together with a beyond-the-worst-case
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analysis of the Louvain algorithm for finding the maximum modularity graphs clustering.
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Microsoft Teams Link:
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<a href="https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGE3NDg5NzktMWQ0Zi00MzFmLTg5OTgtMTMyYWM4MWQyYjI2%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%227c84465e-c38b-4d7a-9a9d-ff0dfa3638b3%22%7d">https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGE3NDg5NzktMWQ0Zi00MzFmLTg5OTgtMTMyYWM4MWQyYjI2%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%227c84465e-c38b-4d7a-9a9d-ff0dfa3638b3%22%7d
</a>
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For more details about the seminar please visit the website at https://www.csa.iisc.ac.in/iisc-msr-seminar/
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