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'''Classification''' is the process of arranging entities into groups based on shared characteristics or criteria. It is a fundamental concept in various fields such as [[biology]], [[library science]], [[information science]], and [[machine learning]]. Classification helps in organizing information, making it easier to retrieve, analyze, and understand.

==Types of Classification==
Classification can be broadly categorized into several types:

===Hierarchical Classification===
Hierarchical classification involves organizing entities into a tree-like structure where each level represents a different degree of specificity. This type is commonly used in [[taxonomy]] to classify living organisms.

===Flat Classification===
Flat classification, also known as single-level classification, involves grouping entities into non-overlapping categories without any hierarchical structure. This is often used in [[document classification]] and [[spam filtering]].

===Supervised Classification===
In supervised classification, a model is trained on a labeled dataset, where the correct output is known. This type is prevalent in [[machine learning]] applications such as [[image recognition]] and [[natural language processing]].

===Unsupervised Classification===
Unsupervised classification, or clustering, involves grouping entities based on inherent similarities without prior labeling. This is used in [[data mining]] and [[pattern recognition]].

==Applications of Classification==
Classification has numerous applications across different domains:

===Biology===
In [[biology]], classification is used to organize living organisms into groups such as [[kingdom]], [[phylum]], [[class]], [[order]], [[family]], [[genus]], and [[species]]. This hierarchical system is known as [[biological classification]] or [[taxonomy]].

===Library Science===
In [[library science]], classification systems like the [[Dewey Decimal Classification]] and the [[Library of Congress Classification]] are used to organize books and other materials in libraries.

===Information Science===
In [[information science]], classification helps in organizing and retrieving information efficiently. Techniques such as [[metadata]] tagging and [[ontology]] development are used for this purpose.

===Machine Learning===
In [[machine learning]], classification algorithms such as [[decision trees]], [[support vector machines]], and [[neural networks]] are used to categorize data into predefined classes.

==Related Pages==
* [[Taxonomy]]
* [[Data mining]]
* [[Pattern recognition]]
* [[Machine learning]]
* [[Dewey Decimal Classification]]
* [[Library of Congress Classification]]
* [[Ontology (information science)]]

==See Also==
* [[Categorization]]
* [[Clustering]]
* [[Supervised learning]]
* [[Unsupervised learning]]

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Classification - Revision history

Prab: CSV import

Prab: CSV import

Prab: CSV import