ABSTRACT
In this project, we shall implement the hierarchical clustering algorithm and apply it to various data sets such as the weather data set, the student data set, and the patient data set. We shall then reduce these datasets using the following dimensionality reduction approaches: Random Projections (RP), Principal Component Analysis (PCA), Variance (Var), the New Random Approach (NRA), the Combined Approach (CA) and the Direct Approach (DA). The rand index and ARI will be implemented to measure the extent to which a given dimensionality reduction method preserves the hierarchical clustering of a data set. Finally, the six reduction methods will be compared by runtime, inter-point distance preservation, variance preservation and hierarchical clustering preservation of the original data set.
INTRODUCTION
Online Market, commonly known as e-commerce or eCommerce, or e-business c...
ABSTRACT
The subject matter of this thesis work focuses on the impact of employees’ training and...
ABSTRACT
The primary purpose of this study is to examine the effect of tax authority in the prevention and detection of...
Abstract
Agitations for state creation are almost as old as the Nigerian nation. The more states that are created, the m...
Abstract
This project work was carried out to examine the problem of teaching and learning of Computer Science in tertia...
ABSTRACT
Some locally available fruits (garden egg, orange, banana, guava, avocado, pawpaw and pineapple).sold in Oye Emene Enugu, Enugu...
BACKGROUND OF THE STUDY
Tax is one of the main source of Government Revenue. It is a strong social and...
Abstract
Anaerobic biodegradation of banana leaves by cellulolytic fungus (yeast) was conducted at optimum operational conditions of conc...
ABSTRACT
A visit to most production company as shows that sourcing now have a great impact on the profitability of a com...
ABSTRACT
This study was carried out to examine micro finance bank and economic growth in Nigeria with s...