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Paper Title: Study of Simple K-Means and DBSCAN Clustering Algorithm Using Hypothyroid Dataset
Authors Name: Abhaya Kumar Samal , Subhendu Kumar Pani , Jitendra Pramanik
Unique Id: IJSDR1607057
Published In: Volume 1 Issue 7, July-2016
Abstract: 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.
Keywords: K-means algorithms, Data mining algorithms, Weka tools, Density based clustering algorithm
Cite Article: "Study of Simple K-Means and DBSCAN Clustering Algorithm Using Hypothyroid Dataset", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.344 - 348, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607057.pdf
Downloads: 0001411
Publication Details: Published Paper ID: IJSDR1607057
Registration ID:160652
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 344 - 348
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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