Publication Type:

Conference Paper

Source:

Proceedings of the Third International Symposium on Women in Computing and Informatics, ACM, New York, NY, USA (2015)

ISBN:

9781450333610

URL:

http://doi.acm.org/10.1145/2791405.2791437

Keywords:

Clustering, Discretization, mixed data, Pairwise distance, rule mining

Abstract:

The field of data mining is concerned with finding interesting patterns from an unstructured data. A simple, popular as well as an efficient clustering technique for data analysis is k-means. But classical k-means algorithm can only be applied to numerical data where k is a user given value. But the data generated from a wide variety of domains are of mixed form and it is effortful to trust on a user given value for k. So our objective is to effectively use an association rule mining algorithm which can automatically compute the number of clusters and a pairwise distance measure for calculating the distance in mixed data. We have done experimentations with real mixed data taken from the UCI repository.

Cite this Research Publication

H. Haripriya, Amrutha, S., Veena, R., and Prof. Nedungadi, P., “Integrating Apriori with Paired K-means for Cluster Fixed Mixed Data”, in Proceedings of the Third International Symposium on Women in Computing and Informatics, New York, NY, USA, 2015.

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS
  • Amrita on Social Media

  • Contact us

    Amrita Vishwa Vidyapeetham
    Amritanagar, Coimbatore - 641 112
    Tamilnadu, India
    • Fax: +91-422-2686274
    • Coimbatore : +91 (422) 2685000
    • Amritapuri   : +91 (476) 280 1280
    • Bengaluru    : +91 (080) 251 83700
    • Kochi              : +91 (484) 280 1234
    • Mysuru          : +91 (821) 234 3479
    • Contact Details »