Performance Evaluation of Clustering Methods for Low and High Dimensional Data
Main Article Content
Abstract
Various Data Clustering techniques are used for grouping similar data and play an important role in the field of Data Mining. Most of the clustering techniques are work good for clustering low dimensional data.We focus on comparitive study of clustering methods: K-means,Hierarchical and Density based clustering, for performance with low and high dimensional data. Experimental results evaluate the performance of these methods on different datasets by analyzing number of features ,number of clusters and time required for clustering data set.
Â
Keywords: Clustering, K-means, Hierarchical, Density-based, Weka
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.