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What is Initial Parameters

Chapter 10
Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies
When a function such as clustering function contains multi-variable or multi-factor, the number of variables and the initial values for the variables or factor are defined as initial parameters.
Published in Chapter:
Use of PCA Solution in Hierarchy and Case of Two Classes of Data Sets to Initialize Parameters for Clustering Function: An Estimation Method for Clustering Function in Classification Application
Peilin Li (University of South Australia, Australia)
Copyright: © 2020 |Pages: 23
DOI: 10.4018/978-1-7998-4444-0.ch010
Abstract
In literature, the initial parameters are critical for K-means function. By seedling randomly or ad hoc approach, the results are not optimal. This chapter details an estimation method using the principal component analysis (PCA) solution based on the connection between PCA solution and membership of clusters from K-means from research. All the mathematical justification is provided. The evaluation has been done empirically with a comparative study. The validation results show the significant feasibility of the proposed method to initialize parameters.
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