Phyllis Wan

activity

20162019

most citedAre Extreme Value Estimation Methods Useful for Network Data?

2 citations · 5 across the 4 of their papers we have counts for

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2 papers · 1 filter

stat.ME2019★ 1 cited

$k$ -means clustering of extremes

Anja Janßen, Phyllis Wan

The $k$ -means clustering algorithm and its variant, the spherical $k$ -means clustering, are among the most important and popular methods in unsupervised learning and pattern detect…

stat.ME2017★ 2 cited

Are Extreme Value Estimation Methods Useful for Network Data?

Phyllis Wan, Tiandong Wang, Richard A. Davis +1

Preferential attachment is an appealing edge generating mechanism for modeling social networks. It provides both an intuitive description of network growth and an explanation for t…

k-means clustering of extremes

Are Extreme Value Estimation Methods Useful for Network Data?

$k$ -means clustering of extremes