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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Cluster analysis for european neonatal jaundice</text>
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              <text>Bat K-means; Clusters; Genetic K-means; K-means; Neonatal jaundice</text>
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              <text>The objective of this paper is to propose and analyze clustering techniques for neonatal jaundice which will help in grouping the babies of similar symptoms. A variety of methods have been introduced in the literature for neonatal jaundice classification and feature selection. As far as we know, clustering techniques are not used for neonatal jaundice data set. This paper studies and proposes clustering techniques such as K-Means, Genetic K-Means and Bat K-Means for jaundice disease. To find the number of clusters elbow method is used. The clusters are validated using RMSE, SI and HI. The experimental results carried out in this paper shows bat k-means clustering performs better than K-means and genetic K-means.  2018, Springer International Publishing AG.</text>
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          <name>Creator</name>
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              <text>Banu P.K.N.; Own H.S.; Olariu T.; Olariu I.</text>
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              <text>Advances in Intelligent Systems and Computing, Vol-633, pp. 408-419.</text>
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          <name>Publisher</name>
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              <text>Springer Verlag</text>
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          <name>Date</name>
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              <text>2018-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-319-62521-8_35" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-319-62521-8_35&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029498457&amp;amp;doi=10.1007%2F978-3-319-62521-8_35&amp;amp;partnerID=40&amp;amp;md5=dc8ad46050e812a361eb55dae6a2d229" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029498457&amp;amp;doi=10.1007%2f978-3-319-62521-8_35&amp;amp;partnerID=40&amp;amp;md5=dc8ad46050e812a361eb55dae6a2d229&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 21945357; ISBN: 978-331962520-1</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Banu P.K.N., Department of Computer Science, Christ University, Bengaluru, India; Own H.S., National Research Institute of Astronomy and Geophysics, Helwan, Egypt; Olariu T., Vasile Goldis Western University of Arad, Arad, Romania; Olariu I., Vasile Goldis Western University of Arad, Arad, Romania</text>
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