Image optimization clustering method based on typical correlation analysis
A technology of canonical correlation and clustering method, applied in the field of image optimization clustering based on canonical correlation analysis, can solve problems such as low execution efficiency, and achieve the effect of fast clustering, strong applicability and high correlation
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[0054] The image optimization clustering method based on typical correlation analysis of the present invention will be described in detail below with reference to the accompanying drawings.
[0055] (1) Collection data object
[0056] Collect data objects, that is, obtain images and image annotation data, and sort out image annotation data that do not appear frequently or are useless in the entire data set. Generally, the obtained data set contains a lot of noise data, so it should be properly processed and filtered before using these data for feature extraction. For images, the obtained images are all in a uniform JPG format, and no conversion is required. For text annotation of images, the resulting image annotations contain a lot of meaningless words, such as words plus numbers without any meaning. Some images have as many as dozens of annotations. In order for the image annotations to describe the main information of the image well, those useless and meaningless annotati...
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