(Solved) : Clustering Technique Called Unique Neighborhood Set Parameter Independent Density Based Cl Q30689144 . . . .

A clustering technique called “Unique Neighborhood Set ParameterIndependent Density-Based Clustering with Outlier Detection”(PIDC-O) is applied on a dataset having 450 records and twoattributes (X, Y). The number of clusters produced by PIDC-O fromthe dataset is four namely Cluster1, Cluster2, Cluster3 andCluster4. . For better understanding, the structure of the textfile is discussed using the table below.

X

Y

Cluster

2

4

Cluster1

6

8

Cluster2

7

8

CLuster2

3

4

Cluster1

2

5

CLuster1

3

5

Cluster1

7

9

Cluster2

2.5

4.5

Cluster1

6.5

8.5

Cluster2

The number of records in the above table is nine, the number ofattributes is two (X,Y) and the number of clusters is two(Cluster1, Cluster2) whereas the cluster.txt willhave 450 records, two attributes (X,Y) and four clusters (Cluster1,Cluster2, Cluster3, Cluster4). The sample output on the above