Human body upper limb zone shape classification method based on main component analysis and layered clustering
A principal component analysis, hierarchical clustering technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as the inability to directly, effectively and comprehensively express the shape of the upper limb girdle
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[0027] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.
[0028] Embodiments of the present invention relate to a method for classifying upper extremity band shapes based on principal component analysis and hierarchical clustering, such as figure 1 As shown, it includes the following steps: collect human body data and build a human body database; initially select the human body part data related to the shape of the upper limb belt, and determine the basic variables according to the li...
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