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Activity Number:
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649
- Advances in Finite Mixture Modeling and Model-Based Clustering
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #324843
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Title:
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Model-Based Clustering of Big Data
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Author(s):
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Paul McNicholas*
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Companies:
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McMaster University
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Keywords:
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Mixture model ;
Clustering ;
Big data ;
Model-based clustering ;
Latent space ;
Clickstream
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Abstract:
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There is the increasingly widespread view that so-called "big data" present the statistical challenge of this generation. The problem of finding homogenous subgroups within big data is a particularly difficult problem. Selected mixture model-based approaches for dealing with several types of big data will be discussed and illustrated on real and simulated data. Some thoughts on related work will also be provided.
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Authors who are presenting talks have a * after their name.
