ch8-ML

Front

what is the Clustering Algorithms ?

Back

• K-Means

• Hierarchichal Clustering

• Density Based Scan Clustering (DBSCAN)

• Gaussian Clustering Model

Front

Hierarchical Clustering algorthems :

Back

Agglomerative hierarchical algorithms

Divisive hierarchical algorithms

Front

• Each data point is treated as a single cluster, • Then successively merge or agglomerate (bottom-up approach) the pairs of clusters. • The hierarchy of the clusters is represented as a dendrogram or tree structure

Back

Agglomerative hierarchical algorithms

Front

All the data points are treated as one big cluster and the process of clustering involves dividing (Top-down approach) the one big cluster into various small clusters

Back

Divisive hierarchical algorithms

Front

what is the Gaussian Mixture Models (GMMs)?

Back

assume that there are a certain number of Gaussian distributions, and each of these distributions represent a cluster.

Front

s a dimensionality reduction technique.

Back

Principle Component Analysis (PCA)