Feature space
Encyclopedia
In pattern recognition
a feature space is an abstract space where each pattern sample is represented as a point in n-dimensional space. Its dimension is determined by the number of feature
s used to describe the patterns. Similar samples are grouped together, which allows the use of density estimation
for finding patterns.
The concept is a most used one in classification
techniques like k nearest neighbors or support vector machine
s.
Pattern recognition
In machine learning, pattern recognition is the assignment of some sort of output value to a given input value , according to some specific algorithm. An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes...
a feature space is an abstract space where each pattern sample is represented as a point in n-dimensional space. Its dimension is determined by the number of feature
Features (pattern recognition)
In pattern recognition, features are the individual measurable heuristic properties of the phenomena being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification...
s used to describe the patterns. Similar samples are grouped together, which allows the use of density estimation
Density estimation
In probability and statistics,density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function...
for finding patterns.
The concept is a most used one in classification
Classification
Classification may refer to:* Library classification and classification in general* Taxonomic classification * Biological classification of organisms* Medical classification* Scientific classification...
techniques like k nearest neighbors or support vector machine
Support vector machine
A support vector machine is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis...
s.