An automatic algorithm for the estimation of mode location and numerosity in general multidimensional data

Simple item page
dc.contributor.advisorThompson, James R.
dc.creatorElliott, Mark Nathan
dc.date.accessioned2009-06-04T00:36:58Z
dc.date.available2009-06-04T00:36:58Z
dc.date.issued1995
dc.description.abstractExploratory data analysis in four or more dimensions present many challenges that are unknown in lower dimensionalities. The emptiness of high dimensional space makes merely locating the regions in which data is concentrated a nontrivial task. A nonparametric algorithm has been developed which determines the number and location of modes in a multidimensional data set. This algorithm appears to be free of the major disadvantages of standard methods. The procedure can be used in data exploration and can also automatically and nonparametrically test for multimodality. The algorithm performs well in several applications. In particular, the algorithm suggests that the Fisher-Anderson iris data, which contains three species, has four modes.
dc.format.extent126 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS STAT. 1995 ELLIOTT
dc.identifier.citationElliott, Mark Nathan. "An automatic algorithm for the estimation of mode location and numerosity in general multidimensional data." (1995) Diss., Rice University. <a href="https://hdl.handle.net/1911/16817">https://hdl.handle.net/1911/16817</a>.
dc.identifier.urihttps://hdl.handle.net/1911/16817
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectStatistics
dc.titleAn automatic algorithm for the estimation of mode location and numerosity in general multidimensional data
dc.typeThesis
dc.type.materialText
thesis.degree.departmentStatistics
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
9610636.PDF
Size:
3.84 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations