Clustering Techniques and Hierarchical Distance Measure in Datamining

Authors

  • Angelin Rosy M Department of MCA, Er.Perumal Manimekalai College of Engineering, Anna University, Hosur, India
  • Shyamala D Department of MCA, Er.Perumal Manimekalai College of Engineering, Anna University, Hosur, India
  • Felix Xavier Muthu M Dept. of Mechanical Engineering, St.Xavier’s Catholic College of Engineering, Anna University, Nagercoil, India

Keywords:

Data mining, Clustering technique, K-means algorithm, Hierarchical method, Partition method

Abstract

Data mining is extracting information from huge set of data. Clustering is a process of organizing object into unknown group. it deals with finding a structure in a collection of unlabeled data. Similar objects are grouped in one cluster and dissimilar are grouped in another cluster. The documents clustering will aims to group in unsupervised way. Clustering analysis is one of the main logical methods in data mining. Which focuses on the current popular and commonly used k-means algorithm? Clustering can be classified into partition method, hierarchical method, density based method, grid based method, and model based method. In hierarchical method are based on different distance measures. In each type calculate the distance between each data objects and all cluster centers .this paper provides a broad survey of the most basic techniques and identifies.

References

[1] k.chithra, D.maheswari,”A comparitive study of various clustering algorithms in datamining” (ISSN 2320-088X),vol6,issue.8,auguest 2017

[2] Dhara patel,Ruchi modi and Ketan sarvakar, ”A comparitive study of clustering datamining:techniques and research challenges” (ISSN 2278-2540)vol 3, issue.9,september 2014

[3] S.Mythili,E.Madhiya,”An analysis on clustering algorithms in datamining”(ISSN 2320-088X)vol.3,issue.1,january 2014

[4] Shivangi bhardwaj,”data mining clustering techniques-A review” (ISSDN 2320-088X)vol.6,issue.5,may 2017

[5] Amandeep kaur mann,Navneet kaur,”Survey paper on clustering techniquies”(ISSN:2278-7798)vol.2,issue.4,april2013

[6] Pradeep rai,Shubha singh”A survey of clustering techniques” (0975-8887) vol.7-no.12,october 2010

[7] Aastha joshi,Rajneet kaur”Comparitive study of various clustering techniques in datamining” (ISSN:2277 128X) vol3,issue 3,march 2013

[8] Shraddha K.popat,Emmanuel.M”Review and comparative study of clustering techniques” (ISSN:0975-9646)vol5(1),2014,805-812

Downloads

Published

2025-11-25

How to Cite

[1]
M. Angelin Rosy, D. Shyamala, and M. Felix Xavier Muthu, “Clustering Techniques and Hierarchical Distance Measure in Datamining”, Int. J. Comp. Sci. Eng., vol. 7, no. 17, pp. 85–89, Nov. 2025.

Issue

Vol. 7 No. 17 (2019): IJCSE Special Issue May Edition

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.