Question

Briefly and clearly explain why clusters are important in processing Big Data.

Answer 1

First, we need to understand that what is clustering?

A cluster could be a group of objects that belongs to the identical class. In other words, similar objects are grouped in one cluster and dissimilar objects are grouped in another cluster. Clustering is the process of constructing a bunch of abstract objects into classes of comparable objects.

1. A cluster of information objects is often treated together, group.

2. While doing cluster analysis, the primary partition of the set of knowledge into groups supported data similarity and so assign the labels to the groups.

Now Why Clusters are important in big data?

1. Clustering provides scalability i.e we need highly scalable clustering algorithms to deal with large data.
2. Clustering has the ability to deal with different kinds of attributes i.e algorithms should be capable to be applied on any kind of data, for example, interval-based (numerical), categorical, and binary data.
3. The clustering algorithm can handle low-dimensional data but also the high dimensional data.
4. Clustering has the ability to deal with noisy data i.e Databases contain noisy or missing data. Clustering can handle this data.