Overview#
Classification (or Taxonomy) is the problem of Identification of an Entity to determine a set of categories (sub-populations) a new observation belongs.Classification in the simplest form is a binary Classification as in "CAT" or "NOT a CAT".
Classification Machine Learning#
Classification in Machine Learning and statistics is an instance of Supervised Learning for the problem of Identification of an Entity to determine a set of Classification (sub-populations) a new observation belongs, on the basis of a training dataset of data containing observations (or instances) whose Classification membership is known.Classification is an example of Pattern-recognition.
Data Classification#
Data Classification may be more specific.An algorithm that implements Classification, especially in a concrete implementation, is known as a classifier.
More Information#
There might be more information for this subject on one of the following:- AWS Simple Storage Service
- AWS Trusted Advisor
- Abstraction
- Active Directory Groups
- Analytics
- Artificial Neural network
- Attack
- Attack Groups
- Attribute
- Behavioral analytics
- Biometric data
- Bridging
- Business to Business
- Civil Right
- Classification
- Classification Trees
- Classifier
- Cluster analysis
- Commerce Control list
- Common Weakness Enumeration
- Complexity
- Computational complexity
- Containerization vs Metadata
- Cryptographic Algorithm
- Cryptographic Key
- Data Classification
- Decentralized system
- Deep Learning
- Digital Identity
- Disclosure-Alteration-Destruction
- Discrimination
- EDirectory Common Event Format
- Encrypted File Systems
- Ethnic
- FHIR Resource
- FIPS 199
- Family Educational Rights and Privacy Act
- Fast Healthcare Interoperability Resources
- Feature detection
- Gateway
- Government
- Ground truth
- Hidden node
- Hyperledger Indy
- ISO 15022
- Identifier
- Implementation Vulnerability
- Industry Classification
- Insular Areas
- K-Nearest Neighbor
- Law
- Logistic Regression
- Loss function
- Machine Learning
- Machine Learning Algorithms
- Machine Learning Taxonomy
- Merchant Category Code
- Message-oriented Middleware
- Metadata
- Monitoring
- Nonimmigrant
- OpenID Connect Federation
- Output layer
- Output node
- Perception
- Perceptron
- Probabilistic Neural Network
- Product
- Protocol Vulnerability
- Proxy Server
- Race
- Randomized algorithm
- Reasoning
- Relationship
- Reverse Proxy
- Sexual orientation
- Software design
- Sovrin Agent
- Sovrin Node
- Standard
- Summation layer
- Supervised Learning
- Symmetric cipher
- Task
- Taxonomy
- Terrorism
- Training dataset
- United Nations Standard Products and Services Code
- Vulnerability
- [#1] - Statistical_classification
- based on information obtained 2017-11-24-