Tag: Clustering

K-Means Explained

K-Means, a method of vector quantization that is popular for cluster analysis in data mining, is about choosing the number of clusters, selecting the centroids (not necessarily from the dataset) at random K points, assigning each data point to the closest centroid (forming K clusters), computing and placing the new centroids of each cluster, reassigning…

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Is There Any Real Difference Between Classification And Clustering In Machine Learning?

Don’t Classification and Clustering have more similarities than differences? Aren’t both about characterizing objects into groups by one or more features? Classification is about classifying data into predefined categories (defining whether a patient record is associated with a specific disease), while Clustering is about grouping data looking similar to a set of groups (grouping patients’ records…

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