Survey of Different Clustering Algorithms in Data Mining
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 5)Publication Date: 2015-05-05
Authors : Subodh Shrivastava; Brajesh Patel;
Page : 1138-1140
Keywords : Clustering; DBSCAN; IDBSCAN; OPTIC;
Abstract
Clustering is the process of collecting similar data in to a group. Clustering is very important in various fields such as machine learning, pattern recognition and statistics. Clustering is a unsupervised learning technique. In this paper following clustering techniques have been discussed- K-Medoid, K-Means Clustering, DBSCAN clustering, IDBSCAN Hierarchical Clustering, OPTICS.
Other Latest Articles
- The Education Based on Applied Optical-Physics in Opticianry Programs in Turkey
- Unilateral Gingival Enlargement - An Unusual Case Report
- Hydrogen Production by Using Composite Membrane (Nafion/Al2O3) in PEM Water Electrolysis
- Deconstructing SCSI Disks Using Dub
- Empowerment of Islamic Worlds Medias in Contrast with Media Streaming of the West
Last modified: 2021-06-30 21:46:31