{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pixelsne-visualizing-fast-with-just-enough","title":"PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding","arxiv_id":"1611.02568","date":"2016-11-08","proceeding":null,"authors":["Minjeong Kim","Minsuk Choi","Sunwoong Lee","Jian Tang","Haesun Park","Jaegul Choo"],"abstract":"Embedding and visualizing large-scale high-dimensional data in a\ntwo-dimensional space is an important problem since such visualization can\nreveal deep insights out of complex data. Most of the existing embedding\napproaches, however, run on an excessively high precision, ignoring the fact\nthat at the end, embedding outputs are converted into coarse-grained discrete\npixel coordinates in a screen space. Motivated by such an observation and\ndirectly considering pixel coordinates in an embedding optimization process, we\naccelerate Barnes-Hut tree-based t-distributed stochastic neighbor embedding\n(BH-SNE), known as a state-of-the-art 2D embedding method, and propose a novel\nmethod called PixelSNE, a highly-efficient, screen resolution-driven 2D\nembedding method with a linear computational complexity in terms of the number\nof data items. Our experimental results show the significantly fast running\ntime of PixelSNE by a large margin against BH-SNE, while maintaining the\nminimal degradation in the embedding quality. Finally, the source code of our\nmethod is publicly available at https://github.com/awesome-davian/PixelSNE","url_abs":"http://arxiv.org/abs/1611.02568v3","url_pdf":"http://arxiv.org/pdf/1611.02568v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pixelsne-visualizing-fast-with-just-enough","repo_url":"https://github.com/awesome-davian/pixelsne","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}