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- W2257585997 abstract "In data mining, clustering is a technique in which the set of objects are assigned to a group called clusters. Clustering is the most essential part of data mining. K-means clustering is the basic clustering technique and is most widely used algorithm. It is also known as nearest neighbor searching. It simply clusters the datasets into given number of clusters. Numerous efforts have been made to improve the performance of the K-means clustering algorithm. In this paper we have been briefed in the form of a review the work carried out by the different researchers using Kmeans clustering. We have discussed the limitations and applications of the K-means clustering algorithm as well. This paper presents a current review about the K means clustering algorithm." @default.
- W2257585997 created "2016-06-24" @default.
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- W2257585997 date "2015-09-15" @default.
- W2257585997 modified "2023-09-22" @default.
- W2257585997 title "K-Means Algorithm: An Assessment" @default.
- W2257585997 doi "https://doi.org/10.18701/imsmanthan.v9i1and2.5164" @default.
- W2257585997 hasPublicationYear "2015" @default.
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