Flashcards in Book - Chapter 4 clustering Deck (12)

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1

## What is clustering

### Is the uses unsupervised techniques for grouping similar objects

2

## What is the centre of a K means cluster

### Arithmetic average

3

## In case it means are the clusters numerical or categorical

### Numerical

4

## What is the input of K means

### Euclidean distance

5

## What is the outcome of K means

### A cluster centre.

6

## Clustering is primarily an exploratory technique to discover what

### Hidden structures of the data, possibly as a prelude to more focused analysis or decision processes

7

## What are the use cases of K beans

### Image processing, medical, and customer segmentation

8

## How would you find out the value of K

### By using within the sum of squares (WSS)

9

## What is WSS

### The sum of the squares of the distances between each Datapoint and the closest centroid

10

## What do you do if you’re missing expected splits

### Increase K

11

## What do you do if clusters have few data points

### Decrease K

12