Instructions

User Manual:

Open the PDF directly: View PDF PDF.
Page Count: 2

DownloadInstructions
Open PDF In BrowserView PDF
Task 2: Display the records of clusters
A clustering technique called "Unique Neighborhood Set Parameter Independent DensityBased Clustering with Outlier Detection" (PIDC-O) is applied on a dataset having 450 records
and two attributes (X, Y). The number of clusters produced by PIDC-O from the dataset is four
namely Cluster1, Cluster2, Cluster3 and Cluster4. A text file (cluster.txt) that contains the
clusters will be uploaded into the subject interact site soon. For better understanding, the
structure of the text file 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 of attributes is two (X,Y) and
the number of clusters is two (Cluster1, Cluster2) whereas the cluster.txt in the subject
interact site will have 450 records, two attributes (X,Y) and four clusters (Cluster1, Cluster2,
Cluster3, Cluster4). The sample output on the above table is shown below.

Write a Java Graphical User Interface (GUI) program that will read the cluster.txt file and will
display the records of the clusters in cluster.txt file in GUI. The records in a particular will be
displayed using a single colour. Add legend for each cluster in the GUI, so that the clusters can
be easily identified.



Source Exif Data:
File Type                       : PDF
File Type Extension             : pdf
MIME Type                       : application/pdf
PDF Version                     : 1.7
Linearized                      : No
Page Count                      : 2
Language                        : en-US
Tagged PDF                      : Yes
XMP Toolkit                     : 3.1-701
Creator                         : Saqib Saleem
Creator Tool                    : Microsoft Word
Create Date                     : 2018:09:07 11:17:58+00:00
Modify Date                     : 2018:09:07 11:17:58+00:00
Document ID                     : uuid:9621D3E0-DC21-4C12-AADF-FB5118210B00
Instance ID                     : uuid:9621D3E0-DC21-4C12-AADF-FB5118210B00
Author                          : Saqib Saleem
EXIF Metadata provided by EXIF.tools

Navigation menu