Scala and Spark for Big Data Analytics

Unsupervised learning and the clustering

Clustering analysis is about dividing data samples or data points and putting them into corresponding homogeneous classes or clusters. Thus a trivial definition of clustering can be thought as the process of organizing objects into groups whose members are similar in some way. A cluster is, therefore, a collection of objects that are similar between them and are dissimilar to the objects belonging to other clusters. As shown in Figure 2, if a collection of objects is given, clustering algorithms put those objects into a group based on similarity. A clustering algorithm such as K-means has then located the centroid of the group of data points. However, to make the clustering accurate and effective, ...