Datavektoreihin

Datavektoreihin is a Finnish term formed by the noun datavektori (data vector) plus the illative plural suffix -iin, used to indicate “into data vectors” or “to data vectors” in technical writing. The base word datavektori refers to a one-dimensional array of numerical values that represents the features of a single observation. A dataset can be described as a collection of datavektorit, with each vector corresponding to one data point.

In data science and statistics, data vectors are central to representing observations. A dataset is often thought of as a matrix where each row is a datavektori and each column is a feature. Many algorithms operate on these vectors, for example in distance calculations, normalization, dimensionality reduction, and supervised learning examples. The illative form datavektoreihin typically appears in sentences describing actions or directions involving multiple vectors, such as transforming data into datavektoreihin or distributing computations to datavektoreihin.

Finnish terminology varies by domain. In many contexts, especially in machine learning, the concept is more commonly expressed with ominaisuusvektori (feature vector) rather than datavektori. Datavektori functions as a direct loan translation in some texts, and datavektoreihin serves as the plural illative form when the discussion centers on multiple vectors or operations directed toward them. Overall, datavektoreihin denotes the plural illative of data vectors and is used within discussions of vector-based data representations.