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Explain K Means clustering algorithm? Apply K Means algorithms for the following data set with two clusters. Data set = {1, 2, 6, 7, 8, 10, 15, 17, 20}
written 7.9 years ago by gravatar for aartisahitya aartisahitya • 170 modified 3.6 years ago by gravatar for binitamayekar binitamayekar ★ 6.7k
data warehouse and mining
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written 3.6 years ago by gravatar for binitamayekar binitamayekar ★ 6.7k

K Means Clustering

  • K-Means clustering is an unsupervised iterative clustering technique.
  • It partitions the given data set into k predefined distinct clusters.
  • A cluster is defined as a collection of data points exhibiting certain similarities.

K Means Clustering

  • It partitions the data set in such a way that -
    • Each data point belongs …

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