Parallel and hierarchical mode association clustering with an R package Modalclust

Cheng, Y. and Ray, S. (2014) Parallel and hierarchical mode association clustering with an R package Modalclust. Open Journal of Statistics, 4(10), pp. 826-836. (doi: 10.4236/ojs.2014.410078)

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Modalclust is an R package which performs Hierarchical Mode Association Clustering (HMAC) along with its parallel implementation over several processors. Modal clustering techniques are especially designed to efficiently extract clusters in high dimensions with arbitrary density shapes. Further, clustering is performed over several resolutions and the results are summarized as a hierarchical tree, thus providing a model based multi resolution cluster analysis. Finally we implement a novel parallel implementation of HMAC which performs the clustering job over several processors thereby dramatically increasing the speed of clustering procedure especially for large data sets. This package also provides a number of functions for visualizing clusters in high dimensions, which can also be used with other clustering softwares.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Ray, Professor Surajit
Authors: Cheng, Y., and Ray, S.
Subjects:H Social Sciences > HA Statistics
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Open Journal of Statistics
Publisher:Scientific Research Publishing Inc.
ISSN (Online):2161-7198
Copyright Holders:Copyright © 2014 The Authors and Scientific Research Publishing Inc.
First Published:First published in Open Journal of Statistics 4(10):826-836
Publisher Policy:Reproduced under a Creative Commons License

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