SOM visua : a framework for clustering and visualization ,visual graph-based SOM and GHSOM

Other Title(s)

SOM visua : إطار للعنقدة و التصور، تصوير بصري للأساس الرسمي على الخريطة ذاتية التنظيم SOM و الخريطة ذاتية التنظيم المتنامية هرميا GHSOM

Dissertant

Kahlut, Khalid M.

Thesis advisor

Mikki, Muhammad A.

University

Islamic University

Faculty

Faculty of Engineering

Department

Department of Computer Engineering

University Country

Palestine (Gaza Strip)

Degree

Master

Degree Date

2013

English Abstract

We introduce a framework for data clustering and visualization called SOMvisua.

The current thesis highlights a graph representation of data input for self-organizing map (SOM) and growing hierarchically self-organizing map (GHSOM).

Sentences from an article will be represented as graph model instead of vector space model.

The SOM and GHSOM clustering algorithm form knowledge about this article.

We showed how to use the text similarity features natively and correctly in SOM and GHSOM clustering algorithms, developed a method to alleviate the hub problem and created a visualizing solution for the reviewed class of text similarity algorithms.

SOMvisua provides a visual animation for eight famous graph algorithms execution with animation speed control.

SOMvisua presents six types of visualization.

For visualization for similarity Lists we used well-known methods that takes a similarity list as input and according to the used similarity measure an adjustable number of most similar sentences are arranged in visual form

Main Subjects

Mathematics

No. of Pages

55

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-530455