Abstract: The project clustered images by fusing the different model information in the images and taking advantage of a small amount of labeled images for semi-supervised distance learning．First,we extracted histogram information of the RGB color space,texture information in the color images,and Bag of Words by using the SIFT algorithm to re-express the image,thus establishing the multi-modal express mechanism of images based on the image's color,texture and semantic features to project the original image onto the space to express．Then,using a small amount of the marked ima-ge,we obtained a similarity measure in multi-modal information space of images through the semi-supervised distance learning．Finally,we realized grouping images through the semi-supervised clustering method and verified the validity of the proposed method in the plurality of images in the database as well.

Key words: Semi-supervise,Distance learning,Multi-modal,Image clustering