Study of Simple K-Means and DBSCAN Clustering Algorithm Using Hypothyroid Dataset
Abhaya Kumar Samal
, Subhendu Kumar Pani , Jitendra Pramanik
K-means algorithms, Data mining algorithms, Weka tools, Density based clustering algorithm
In data mining and knowledge discovery, data clustering is considered as one of the major basic research topics that put similar data into groups. A clustering algorithm divides a data set into several groups based on the standard rule of maximizing the intra-class similarity and minimizing the inter-class similarity. In this work, we analyze the performance of K-Means, and Density based clustering. Performance of the 2 techniques are presented and compared using a clustering tool WEKA. These 2 clustering algorithms have applied on hypothyroid dataset which is available at UCI machine learning repository.
"Study of Simple K-Means and DBSCAN Clustering Algorithm Using Hypothyroid Dataset", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.344 - 348, July-2016, Available :https://ijsdr.org/papers/IJSDR1607057.pdf
Volume 1
Issue 7,
July-2016
Pages : 344 - 348
Paper Reg. ID: IJSDR_160652
Published Paper Id: IJSDR1607057
Downloads: 000346998
Research Area: Engineering
Country: Bhubaneswar, Odisha, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave