Surface Analyzer Cluster Region Detection
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Solution Overview
Problem
Automated clustering on scatter diagrams often fails to align with analyst judgments due to lack of knowledge-based information, making manual modification of cluster regions cumbersome and inefficient.
Innovation Solution
A surface analyzer equipped with a measuring unit, scatter diagram generation unit, cluster analysis unit, and cluster region detection unit that performs density-based clustering and generates polygonal cluster region boundary information, allowing for easy modification and integration of clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated clustering is performed on scatter diagrams, then productivity is improved, but the accuracy of cluster region identification deteriorates due to lack of knowledge-based information
Solution Approach 1:
The system segments the clustering process into two distinct stages: (1) automated clustering that groups points based on density to improve productivity, and (2) manual verification stage where analysts can inspect and adjust cluster regions. This segmentation allows each stage to optimize for its specific goal while mitigating the weaknesses of the other.
Solution Approach 2:
The system implements feedback mechanisms where clustering results are presented to analysts for verification, and analyst corrections feed back into the clustering algorithm to improve future automated clustering accuracy. This creates a continuous improvement loop that maintains both productivity and accuracy.
2Measurement precision
If manual modification of cluster regions is allowed, then measurement precision is improved, but device complexity increases due to additional operations
Solution Approach 1:
The system performs preliminary automated clustering to generate initial cluster regions before manual modification. This preliminary action provides a solid foundation that reduces the amount of manual work needed, thereby limiting the increase in operational complexity while still allowing necessary adjustments for accuracy.
Solution Approach 2:
The system allows analysts to perform manual modifications only in specific local areas where automated clustering may have failed, rather than requiring complete manual redrawing. This localized approach to modification reduces overall operational complexity while maintaining measurement precision where it matters most.
3Ease of operation
If cluster region boundary information is provided, then ease of operation is improved, but loss of information increases due to polygon approximation
Solution Approach 1:
The system provides dynamic cluster region boundary information that can be adjusted interactively. The polygon approximation is not fixed but can be dynamically modified by analysts, allowing them to balance ease of operation with information preservation based on their specific needs and the characteristics of each cluster.
Solution Approach 2:
The system adds an interactive dimension to cluster boundary representation. Instead of providing only static polygon approximations, it enables analysts to manipulate boundaries in an additional interactive dimension, allowing them to recover lost boundary precision when needed while maintaining the computational benefits of polygon representation.
Data Source
AI summary
A surface analyzer is provided with a measuring unit, a scatter diagram generation unit, a cluster analysis unit, and a cluster region detection unit. The measuring unit acquires a signal reflecting a quantity of each of a plurality of components or elements that are analysis targets at a plurality of positions on a sample. The scatter diagram generation unit generates a scatter diagram based on a measurement result by the measuring unit. The cluster analysis unit performs the clustering of points in the scatter diagram. The cluster region detection unit acquires, based on clustering information given to each point in the scatter diagram by the cluster analysis unit, for each cluster, cluster region boundary information on a polygon having a predetermined number or less of vertices.