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___________ measures the goodness of a cluster. View:-8733
Question Posted on 30 May 2023

___________ measures the goodness of a cluster.
Choose the correct option from below list
(1)Cohesion....
ADS Posted In : Important Topics | Clustering the ensemble



Which learning is the method of finding structure in the data without labels. View:-8906
Question Posted on 30 May 2023

Which learning is the method of finding structure in the data without labels.
Choose the correct option f....
ADS Posted In : Important Topics | Clustering the ensemble
____________ of a set of points is defined using a distance measure. View:-11099
Question Posted on 30 May 2023

____________ of a set of points is defined using a distance measure.
Choose the correct option from below....
ADS Posted In : Important Topics | Clustering the ensemble
K Means algorithm assumes Euclidean Space/Distance. View:-10849
Question Posted on 30 May 2023

K Means algorithm assumes Euclidean Space/Distance.
Choose the correct option from below list
(1)True....
ADS Posted In : Important Topics | Clustering the ensemble
A centroid is a valid point in a non-Euclidean space. View:-11218
Question Posted on 29 May 2023

A centroid is a valid point in a non Euclidean space.
Choose the correct option from below list
(1)Fa....
ADS Posted In : Important Topics | Clustering the ensemble
The number of rounds for convergence in k means clustering can be large. View:-9668
Question Posted on 29 May 2023

The number of rounds for convergence in k means clustering can be large.
Choose the correct option from b....
ADS Posted In : Important Topics | Clustering the ensemble
Sampling is one technique to pick the initial k points in K Means Clustering. View:-10770
Question Posted on 29 May 2023

Sampling is one technique to pick the initial k points in K Means Clustering.
Choose the correct option f....
ADS Posted In : Important Topics | Clustering the ensemble
What is the overall complexity of the the Agglomerative Hierarchical Clustering? View:-6738
Question Posted on 29 May 2023

What is the overall complexity of the the Agglomerative Hierarchical Clustering?
Choose the correct optio....
ADS Posted In : Important Topics | Clustering the ensemble
What is the R function to apply hierarchical clustering to a matrix of distance objects? View:-5971
Question Posted on 28 May 2023

What is the R function to apply hierarchical clustering to a matrix of distance objects?
Choose the corre....
ADS Posted In : Important Topics | Clustering the ensemble
_____________ is when points don’t move between clusters and centroids stabilize. View:-8668
Question Posted on 28 May 2023

_____________ is when points dont move between clusters and centroids stabilize.
Choose the correct optio....
ADS Posted In : Important Topics | Clustering the ensemble
___________ is a way of finding the k value for k means clustering. View:-9887
Question Posted on 27 May 2023

___________ is a way of finding the k value for k means clustering.
Choose the correct option from below ....
ADS Posted In : Important Topics | Clustering the ensemble
Hierarchical Clustering is a suggested approach for Large Data Sets. View:-9597
Question Posted on 26 May 2023

Hierarchical Clustering is a suggested approach for Large Data Sets.
Choose the correct option from below....
ADS Posted In : Important Topics | Clustering the ensemble
The ______ is a visual representation of how the data points are merged to form clusters. View:-9267
Question Posted on 26 May 2023

The ______ is a visual representation of how the data points are merged to form clusters.
Choose the corr....
ADS Posted In : Important Topics | Clustering the ensemble
What is the R Function to divide a dataset into k clusters? View:-6322
Question Posted on 25 May 2023

What is the R Function to divide a dataset into k clusters?
Choose the correct option from below list
ADS Posted In : Important Topics | Clustering the ensemble
___________ of two points is the average of the two points in Eucledian Space. View:-11195
Question Posted on 25 May 2023

___________ of two points is the average of the two points in Eucledian Space.
Choose the correct option ....
ADS Posted In : Important Topics | Clustering the ensemble
What is a preferred distance measure while dealing with sets? View:-8607
Question Posted on 25 May 2023

What is a preferred distance measure while dealing with sets?
Choose the correct option from below list <....
ADS Posted In : Important Topics | Clustering the ensemble
Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ? View:-7534
Question Posted on 25 May 2023

Each point is a cluster in itself We then combine the two nearest clusters into one What type of clustering d....
ADS Posted In : Important Topics | Clustering the ensemble
Unsupervised learning focuses on understanding the data and its underlying pattern. View:-11349
Question Posted on 25 May 2023

Unsupervised learning focuses on understanding the data and its underlying pattern.
Choose the correct op....
ADS Posted In : Important Topics | Clustering the ensemble
Members of the same cluster are far away / distant from each other. View:-10666
Question Posted on 25 May 2023

Members of the same cluster are far away distant from each other.
Choose the correct option from below li....
ADS Posted In : Important Topics | Clustering the ensemble
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