Comparative study between the proposed shape independent clustering method and the conventional methods (K-means and the other)

Abstract

 Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in the data sets. In this paper, we propose to provide a consistent partitioning of a dataset which allows identifying any shape of cluster patterns in case of numerical clustering, convex or non-convex. The method is based on layered structure representation that be obtained from measurement distance and angle of numerical data to the centroid data and based on the iterative clustering construction utilizing a nearest neighbor distance between clusters to merge. Encourage result show the effectiveness of the proposed technique.

Authors and Affiliations

Kohei Arai, Cahya Rahmad

Keywords

Related Articles

 The preliminary results of a force feedback control for Sensorized Medical Robotics

 A laparoscopic surgery system by using a robot holds many problems. Among these, its inability in delivering touching sensation to a surgeon is raised as the biggest problem. The current paper attempted to find a f...

 Realistic Rescue Simulation Method with Consideration of Road Network Restrictions

 A realistic rescue simulation method with consideration of road network restrictions is proposed. Decision making and emergency communication system play important roles in rescue process when emergency situations...

 Comparative Analysis of Improved Cuckoo Search(ICS) Algorithm and Artificial Bee Colony (ABC) Algorithm on Continuous Optimization Problems

 This work is related on two well-known algorithm, Improved Cuckoo Search and Artificial Bee Colony Algorithm which are inspired from nature. Improved Cuckoo Search (ICS) algorithm is based on Lévy flight and behavi...

 External analysis of strategic market management can be realized based upon different human mindset–A debate in the light of statistical perspective

  The paper entails the statistical correlation of the investigations carried out for the sales and profit prediction and analysis by persons of different mindsets in case of strategic uncertainty . The paper by vir...

 Analytical Study of Some Selected Classification Algorithms in WEKA Using Real Crime Data

 Data mining in the field of computer science is an answered prayer to the demand of this digital age. It is used to unravel hidden information from large volumes of data usually kept in data repositories to help im...

Download PDF file
  • EP ID EP93387
  • DOI -
  • Views 129
  • Downloads 0

How To Cite

Kohei Arai, Cahya Rahmad (2013). Comparative study between the proposed shape independent clustering method and the conventional methods (K-means and the other). International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(7), 1-5. https://europub.co.uk/articles/-A-93387