An Effective Determination of Initial Centroids in K-Means Clustering Using Kernel PCA

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Clustering is considered as the task of dividing a data set such that elements within each subset that is similar between themselves and are dissimilar to elements belonging to other subsets. Clustering techniques usually belong to the group of undirected data mining tools; these techniques are also sometimes referred to as \"Unsupervised learning\" because there is no particular dependent or outcome variable to predict. Cluster analysis is most common in any discipline that involves analysis of multivariate data.

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