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DC Field | Value | Language |
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dc.contributor.author | M, Rajeshwari | - |
dc.contributor.author | P, Joshika | - |
dc.date.accessioned | 2020-06-17T10:44:45Z | - |
dc.date.available | 2020-06-17T10:44:45Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.issn | 0374-8588 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/217 | - |
dc.description.abstract | Health affects the studies of students directly. If they are sick, they will lack concentration in studies and if they are not, it will never affect their studies. Clustering means a collection of data objects that are similar to one another with in the equal cluster and are dissimilar to the objects in other clusters .In k-means, individual cluster is represented by its mid-point or mean which is also termed as the centroid and is calculated as mean value of the data within that cluster. Here, simple k – means of clustering is used to identify the effect of sickness in studies of the students | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of The Gujarat Research Society | en_US |
dc.subject | cluster analysis | en_US |
dc.subject | simple k-means | en_US |
dc.subject | performance | en_US |
dc.subject | centroid | en_US |
dc.title | STUDENT'S PERFORMANCE ANALYSIS USING SIMPLE K-MEANS | en_US |
dc.type | Article | en_US |
Appears in Collections: | International Journals |
Files in This Item:
File | Description | Size | Format | |
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STUDENT'S PERFORMANCE ANALYSIS USING SIMPLE K-MEANS.docx | 10.29 kB | Microsoft Word XML | View/Open |
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