Table 1.

Classification and clustering techniques in data mining.

Classification Techniques	Application of Classification Techniques	Clustering Techniques	Application of Clustering Techniques
Neural Network	E.g., stock market prediction [13]	Partition-based	E.g., medical datasets analysis [14]
Decision Tree	E.g., Banking and finance [15]	Model-based	E.g., multivariate Gaussian mixture model [16]
Support Vector Machine	E.g., big data analysis [17]	Grid-based	E.g., large-scale computation [18]
Association-based	E.g., high dimensional problems [19]	Density-based	Applications with noise. E.g., DBSCAN [20]
Bayesian	E.g., retrosynthesis [21]	Hierarchy-based	E.g., Mood and abnormal activity prediction [22,23]