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The K-Means Algorithm Evolution
[chapter]
2019
Clustering [Working Title]
Clustering is one of the main methods for getting insight on the underlying nature and structure of data. The purpose of clustering is organizing a set of data into clusters, such that the elements in each cluster are similar and different from those in other clusters. One of the most used clustering algorithms presently is K-means, because of its easiness for interpreting its results and implementation. The solution to the K-means clustering problem is NP-hard, which justifies the use of
doi:10.5772/intechopen.85447
fatcat:oyidqzjs4zdinopc3pvjl6rn6a