Classification of Fishing Boats by the Method of Cluster Analysis

Abstract

Classification of Fishing Boats by the Method of Cluster Analysis Kaname SATO and Yoshio MIYAZAKI With 20 variables taken as principal items of 56 fishing boats in seven types, classification of fishing boats was made in accordance with principal components analysis and cluster analysis, in combination. Verification of result was made by using data of 54 tuna long line fishing boats not used in those analyses. As the result, an existing method of classification, that is, a method of classification, set up according to uses, proved to be a suitable one. Hence, the classification by use of the fishing boat has quite an important meaning, and the fishing boat has characteristic features essential for the performance of its function. Here, the factors such as, for example, length between perpendiculars, molded breadth, molded depth and coefficient of fineness should be considered. It is, concretely speaking, true that we can decide such factors practically only from energy saving viewpoint neglecting the use of fishing boat, but we are afraid that the fishing boat, the type of which is designed to lighten hull resistance, has, practically speaking, a serious defect in terms of efficiency required in its operation.