3. Examine the dendrogram: How many clusters seem reasonable for describing the data?

Q: What exactly do you mean when you say "clustering"? Which aspects of data mining are made easier by…

A: 1) Clustering is the process of grouping a set of objects in such a way that objects in the same…

Q: Which inter-cluster similarity metric does this line represent? MIN MAX ARGMIN Group MIN Aggregated…

A: According to Bartleby Guidelines we need to answer only one question so I have answered first…

Q: Give an example of how (Tables) can be related through (Keys).

A: In Relational database, it contains many tables which consists of columns and follow some rules like…

Q: Clustering and classification are two different things. What is the difference between them?

A: Introduction: It is a process where items within a group are grouped according to their similarity.…

Q: Examine the dendrogram: How many clusters seem reasonable for describing the data?

A: If we see the dendrogram - There are 7 clusters of size 1 - a, b, c, d, e, f, g 2 clusters of size 2…

Q: K-Means is a type of hierarchical clustering True O False

A: K- Means:- To discover groupings that haven't been explicitly identified in the data, the K-means…

Q: To make meaningful comparisons, use a normalized histogram. Surely it's OK to exclude the…

A: Advantages of Using a Normalized Histogram One advantage of using a normalised histogram is that it…

Q: How do surrogate keys differ from natural keys in data modeling

A: A natural key can be defined in such a way that it is a column or we can say that it is a group of…

Q: To put it another way, what exactly do you mean when you say "clustering"? What sorts of data mining…

A: Clustering is a data mining approach that categorizes items into groups where their similarities…

Q: Show me how the structure of the DataSet works.

A: the structure of a dataset defines how data is organized, represented, and accessed. Tabular…

Q: What is your one-sentence explanation of the concept known as "clustering"? How does it make the…

A: Clustering is a fundamental concept in data mining and machine learning that involves grouping…

Q: Give the proper cluster creation method. What does the cluster analysis of this approach entail?

A: Algorithms for Clustering and Clusters The term "clustering" refers to a large collection of…

Q: Give the proper cluster creation method. What does the cluster analysis of this approach entail?

A: Clustering Algorithm: Clustering is an expansive term that alludes to an assortment of strategies…

Q: Give an example of when you would want to analyze the mean of a dataset.

A: Mean The mean, also known as the arithmetic average, is a commonly used measure of central tendency…

Q: We propose adding a tier to Flynn's taxonomy. Do these devices have any distinguishing features?

A: Flynn's taxonomy is a classification system that categorizes computer architectures based on the…

Fundamentals of Big Data Analytics

Big data analytics is the process of using advanced analyzing techniques against huge variant data sets to uncover hidden pattern or knowledge. It helps in organization's decision making process. Big data can be organized in any of the following formats.