An Empirical Analysis and Designing of Data Mining Clustering Algorithm

Abstract

Data mining is the technique of running the data through the algorithms for discovering the meaningful correlations and patterns among the data that would remain hidden otherwise. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters).

Authors and Affiliations

Sukhman Jot Kaur, Er. Tarun Bagga

Keywords

Related Articles

Comparison Among Different Sorting Techniques

Ordering of data is very important. To understand any data it must be in ordered form, even computer cannot perform operations on randomly stored data. The process of ordering of data is known as sorting. There are vari...

An Energy Efficient Multichannel Mac Protocols To Convey Bursty Data By Y-MAC

As the use of wireless sensor networks (WSNs) becomes prevalent, node density tends to increase. This poses a new analysis for Medium Access Control (MAC) protocol design. Although conventional MAC protocols achieve low...

Effect of Yogic Exercises on the Physical Fitness Components of Handball Players

Yogic exercises not only increase the general strength but also tone up the muscles because these exercises stretch out the muscles and due to their slow stretch and hold nature along with breathing mechanism improves t...

Modular Cascaded H-Bridge Multilevel PV Inverter by Using Fuzzy Logic Controller with Distributed MPPT for Grid-Connected Applications

This paper presents a modular cascaded H-bridge multilevel photovoltaic (PV) inverter for single- or three-phase gridconnected applications. The modular cascaded multilevel topology helps to improve the efficiency and fl...

Adjacent Contiguous Categorization over Semantically Secured Records

Data Mining has large applications in many areas such as banking, medicine, scientific research and among government agencies. But due to the rise of many security issues, many theoretical and practical solutions to the...

Download PDF file
  • EP ID EP20877
  • DOI -
  • Views 254
  • Downloads 4

How To Cite

Sukhman Jot Kaur, Er. Tarun Bagga (2015). An Empirical Analysis and Designing of Data Mining Clustering Algorithm. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(6), -. https://europub.co.uk/articles/-A-20877