Efficient rough sets based dynamic Agglomerative clustering

Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 7

Abstract

There are different types of techiniques are there to extract knowledge from various sources. Critical / rough set has been applied to extract knowledge from various types of databases. Some limitations have been discovered in rough set, such as label inconsistency, the lack of flexibility and excessive dependency on discretization of the initial attributes. To overcome these limitations, a novel agglomerative clustering method using improved rough set is proposed. The idea of using equivalence class was also incorporated to merge and divide subclass. The experimental applications in data extraction and cooperative object localization showed the effectiveness of the presented improved rough set combined with agglomerative clustering.

Authors and Affiliations

Y. TEJASWINI , H VENKATESWARA REDDY

Keywords

Related Articles

Guaranteed Packet Transfer in MANET In and Out of Coverage Areas and Energy Saving Using Random Casting

The main objective analysis of packet loss in coverage area nd less coverage area and reduced packet loss and increase e reliability in MANET . Each node on its neighborhood formation is updated in a timely manner to...

A Comparative Study of the Various Emotional Speech Databases

Speech emotional database and recognition is the challenging part of human computer interaction. The current research focuses towards the detection of emotion in various situations, while the database demands more to fet...

Differential Evolution for Optimization of PID Gains in Automatic Generation Control

Automatic generation control (AGC) of a multi area power system provides power demand signals for AGC power generators to control frequency and tie-line power flow due to the large load changes or other disturbances. Occ...

SOFTWARE ARCHITECTURE BASED REGRESSION TESTING

Software architecture plays a significant role in development of a dependable system. The purpose of regression testing is to make the system fault tolerant. The amalgamation of these two, results in the development of a...

A Congestion Controlled Multipath Routing Algorithm Based On Path Survivability Factor

Mobile wireless ad hoc network has emerged as the self organized wireless interconnection for the various applications in random topology. However achieving reliable transmission in mobile wireless network is crucial due...

Download PDF file
  • EP ID EP136981
  • DOI -
  • Views 92
  • Downloads 0

How To Cite

Y. TEJASWINI, H VENKATESWARA REDDY (2014). Efficient rough sets based dynamic Agglomerative clustering. International Journal on Computer Science and Engineering, 6(7), 271-274. https://europub.co.uk/articles/-A-136981