Paurat, DanielDanielPauratGärtner, ThomasThomasGärtner2022-03-122022-03-122013https://publica.fraunhofer.de/handle/publica/38389210.1007/978-3-642-40994-3_52We present InVis, a tool to visually analyse data by interactively shaping a two dimensional embedding of it. Traditionally, embedding techniques focus on finding one fixed embedding, which emphasizes a single aspects of the data. In contrast, our application enables the user to explore the structures of a dataset by observing and controlling a projection of it. Ultimately it provides a way to search and find an embedding, emphasizing aspects that the user desires to highlight.enconference paper