Using the Agglomerative Hierarchical Clustering Method to Examine Human Factors in Indonesian Aviation Accidents

Human factors in general aviation accidents.

Contributive factors to aviation accidents.

The objective of the study was to compare the results of aviation accident analyses performed by the Center for Investigation and Prevention of Aviation Accidents (CENIPA) with the method Human Factors Analysis and Classification System (HFACS). The final reports of thirty-six general aviation accidents occurring between 2000 and 2005 in the State of São Paulo, Southeastern Brazil were analyzed...

Implementing Agglomerative hierarchical clustering using multiple attribute

Agglomerative hierarchical clustering algorithm used with top down approach. It implement with multiple attributes. In multiple attributes frequency calculation is allocated. Memory requirements are less in this process. Hierarchical clustering produce accurate result than any other algorithm. This is very less time consuming process.

Agglomerative Hierarchical Clustering using AVL tree in the case of single-linkage clustering method

The hierarchy is often used to infer knowledge from groups of items and relations in varying granularities. Hierarchical clustering algorithms take an input of pairwise data-item similarities and output a hierarchy of the data-items. This paper presents Bidirectional agglomerative hierarchical clustering to create a hierarchy bottom-up, by iteratively merging the closest pair of data-items into...

A Comparative Agglomerative Hierarchical Clustering Method to Cluster Implemented Course

There are many clustering methods, such as hierarchical clustering method. Most of the approaches to the clustering of variables encountered in the literature are of hierarchical type. The great majority of hierarchical approaches to the clustering of variables are of agglomerative nature. The agglomerative hierarchical approach to clustering starts with each observation as its own cluster and ...