24 citations · 25 across the 4 of their papers we have counts for
4 papers
Review of Clustering Methods for Functional Data
Mimi Zhang, Andrew Parnell
Functional data clustering is to identify heterogeneous morphological patterns in the continuous functions underlying the discrete measurements/observations. Application of functio…
Clustering of Big Data with Mixed Features
Joshua Tobin, Mimi Zhang
Clustering large, mixed data is a central problem in data mining. Many approaches adopt the idea of k-means, and hence are sensitive to initialisation, detect only spherical cluste…
Loss cone refilling by flyby encounters--A numerical study of massive black holes in galactic centres
Mimi Zhang
A gap in phase-space, the loss cone (LC), is opened up by a supermassive black hole (MBH) as it disrupts or accretes stars in a galactic centre. If a star enters the LC then, depen…
Multi-mass schemes for collisionless N-body simulations
Mimi Zhang, John Magorrian
We present a general scheme for constructing Monte Carlo realizations of equilibrium, collisionless galaxy models with known distribution function (DF) f_0. Our method uses importa…