Clustering

Clustering is an unsupervised learning technique

• TRUE

• FALSE

Finding mutually exclusive clusters of spherical shape is

• Partitioning Methods

• Hierarchical Methods

• Density-based methods

• Grid based methods

Clusters are dense region of objects in space that are separated by low-density regions

• Partitioning Methods

• Hierarchical Methods

• Density based Methods

• Grid based methods

State true or false.The Inter cluster similarity should be low and intra-cluster similarity should be high

• TRUE

• FALSE

The k-means method converges to

• local optimum

• global optimum

State true or false.K-means algorithm is sensitive to outliers

• TRUE

• FALSE

K-medoids doesn't work well for small data sets

• TRUE

• FALSE

Starting from own cluster and moving towards a single cluster is termed as

• Agglomerative clustering

• Divisive clustering

• K-means

• K-mediods

--------------------- is used to represent the process of Hierarchical clustering

(a)  

STING is a

• Grid based method

• density based method

• Agglomerative clustering

• Divisive clustering