Semantic Scholar Open Access 2002 6130 sitasi

Cluster Analysis

K. Vehkalahti B. Everitt

Lihat Sumber DOI

Abstrak

ەی اكتره . Abstract This study was conducted with the aim to identify the most important effective factors that lead to increase the car accidents in Erbil Governorate, by classifying the variables to the homogeneous groups, and identifying the most important variables, also to find the effective of the variables in the studied phenomenon. Later two types of Multivariate Analysis; the Factor Analysis by Using Principle components method and Cluster Analysis by Using Ward method have been applied as a tools to analyzing the data, then the comparison was made between the two analysis . The most important result for this study is, classifying the variables that caused the increasing of car accidents to eight significant factors and explained the largest part of the variance

Topik & Kata Kunci

Computer Science

Penulis (2)

K. Vehkalahti

B. Everitt

Format Sitasi

APA MLA BibTeX

Vehkalahti, K., Everitt, B. (2002). Cluster Analysis. https://doi.org/10.1007/978-1-4939-7131-2_100104

Akses Cepat

Lihat di Sumber doi.org/10.1007/978-1-4939-7131-2_100104

Informasi Jurnal

Tahun Terbit: 2002
Bahasa: en
Total Sitasi: 6130×
Sumber Database: Semantic Scholar
DOI: 10.1007/978-1-4939-7131-2_100104
Akses: Open Access ✓