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Activity Number:
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444
- Highlights from the Journal STAT
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2020 : 10:00 AM to 11:50 AM
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Sponsor:
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SSC (Statistical Society of Canada)
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Abstract #312360
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Title:
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Syncytial Clustering
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Author(s):
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Ranjan Maitra* and Israel A. Almodovar-Rivera
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Companies:
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Iowa State University and University of Puerto Rico
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Keywords:
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DEMP+;
DBSCAN*;
MGHD;
MSAL;
PGMM;
spectral clustering
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Abstract:
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Commonly-used clustering algorithms usually find ellipsoidal, spherical or other regular-structured clusters, but are more challenged when the underlying groups lack formal structure or definition. Syncytial clustering is the name that we introduce for methods that merge groups obtained from standard clustering algorithms in order to reveal complex group structure in the data. We develop investigate fully-automated syncytial clustering algorithms that can be used with k-means and other algorithms. Our methodology is implemented in the R package SynClustR and is always a top performer in identifying groups with regular and irregular structures in several datasets and can be applied to datasets with scatter or incomplete records. The approach is also used to identify the distinct kinds of gamma ray bursts in the Burst and Transient Source Experiment 4Br catalog and the distinct kinds of activation in a functional Magnetic Resonance Imaging study.
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Authors who are presenting talks have a * after their name.
