Tuesday, June 9, 2026
Latest:

Questions & Answers

(Frequently asked questions)

Questions & Answers › Tag: Clustering
Filter:AllOpenResolvedClosedUnanswered
What is the R function to apply hierarchical clustering to a matrix of distance objects?
AnsweredAdam asked 4 years ago • 
4744 views1 answers0 votes
What is the R Function to divide a dataset into k clusters?
AnsweredAdam asked 4 years ago • 
5180 views1 answers-1 votes
Members of the same cluster are far away / distant from each other.
AnsweredAdam asked 4 years ago • 
5888 views1 answers0 votes
_____________ is when points don't move between clusters and centroids stabilize.
AnsweredAdam asked 4 years ago • 
4165 views1 answers0 votes
K Means algorithm assumes Euclidean Space/Distance.
AnsweredAdam asked 4 years ago • 
6364 views1 answers0 votes
___________ is a way of finding the k value for k means clustering.
AnsweredAdam asked 4 years ago • 
7252 views1 answers0 votes
Hierarchical Clustering is a suggested approach for Large Data Sets.
AnsweredAdam asked 4 years ago • 
3627 views1 answers0 votes
Sampling is one technique to pick the initial k points in K Means Clustering.
AnsweredAdam asked 4 years ago • 
6603 views1 answers-1 votes
The number of rounds for convergence in k means clustering can be large.
AnsweredAdam asked 4 years ago • 
5231 views1 answers0 votes
A centroid is a valid point in a non-Euclidean space.
AnsweredAdam asked 4 years ago • 
5926 views1 answers0 votes
The ______ is a visual representation of how the data points are merged to form clusters.
AnsweredAdam asked 4 years ago • 
8083 views1 answers0 votes
___________ measures the goodness of a cluster.
AnsweredAdam asked 4 years ago • 
4473 views1 answers0 votes
___________ is the data point that is closest to the other point in the cluster.
AnsweredAdam asked 4 years ago • 
4556 views1 answers1 votes
What is the overall complexity of the the Agglomerative Hierarchical Clustering?
AnsweredAdam asked 4 years ago • 
5552 views1 answers0 votes
_____________ of a set of points is defined using a distance measure.
AnsweredAdam asked 4 years ago • 
7526 views1 answers1 votes
Which learning is the method of finding structure in the data without labels.
AnsweredAdam asked 4 years ago • 
3943 views1 answers0 votes
Unsupervised learning focuses on understanding the data and its underlying pattern.
AnsweredAdam asked 4 years ago • 
7049 views1 answers0 votes
What is a preferred distance measure while dealing with sets?
AnsweredAdam asked 4 years ago • 
7834 views1 answers0 votes
Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
AnsweredAdam asked 4 years ago • 
6470 views1 answers0 votes
Copyright © 2026 EASTER SCIENCE. All rights reserved.