method

classification

The process of grouping items based on shared characteristics.
28 related articles

Description

Classification is the process of grouping items based on shared characteristics, allowing for organization, prediction, and understanding of complex systems. In science and technology, classification is fundamental to fields ranging from biology (taxonomy) to machine learning (pattern recognition). It helps in making sense of large datasets by identifying patterns and categories, which can then be used to make predictions or decisions about new data.

History

The formal study of classification dates back to Aristotle, who classified living things into a hierarchy. Modern statistical classification emerged in the 20th century with the development of decision trees and linear discriminant analysis.

How it works

Classification typically involves defining features or attributes that describe the items, then using a rule or algorithm to assign each item to a category based on those features. In machine learning, this often involves training a model on labeled examples, where the model learns the relationship between features and categories, and then applying the model to new, unlabeled data. The choice of features and the algorithm significantly affect the accuracy and interpretability of the classification.

In practice

Classification is used in spam filtering, medical diagnosis, image recognition, and many other applications where data needs to be automatically sorted into predefined categories.

Fun fact

The same classification algorithms used to identify spam emails are also used by astronomers to classify galaxies into spiral, elliptical, and irregular types.

Concept graph →

Related articles · 28

Galaxies2026-07-283 minarXiv:2607.26136
Cluster Crucible: Random Forest Identifies Returning Galaxies
Galaxy NGC 4254 lies 1.5 million light-years from the center of the Virgo cluster. It drags a long stream of cooling hydrogen — a sign that it's plowing headlong into the hot gas. Losing cold fuel quenches the birth of new stars.
eess.SY2026-07-161 minarXiv:2607.14606express
How to read an enemy in the sky in seconds
In combat, a pilot needs to instantly understand what an object is and what its intentions are. Conventional systems wait for complete radar data — like a goalkeeper who only reacts after the shot. The new algorithm works like an experienced goalkeeper: from the attacker's first moves, it predicts the target's maneuver.
Signal Processing2026-07-161 minarXiv:2607.14938express
Where Are You? Radio Waves Know the Answer
Radio signals in a room act just like sound in a concert hall: bouncing off walls and objects, they create a unique pattern — a silent melody for every location. Your phone, like a keen ear, catches this melody amid noise and distortion. It remembers which chord matches the corner of the couch, and which one fits the doorway.
eess.AS2026-07-142 minarXiv:2607.12703express
Audio Diarization: How an Algorithm Catches Any Sound Event Without Prior Knowledge
Human hearing is wired so that the brain prioritizes familiar patterns — a friend's voice, the patter of rain, a car horn. But a new system works on a different principle: it registers any sound burst, even one never encountered before.
Actions are recognized by posture, not by trajectory
Researchers took 16 everyday activities — from washing dishes to squatting — and broke the movements down into elementary components, much like a spectroscope splits light into a spectrum. Comparing three approaches, they found an unexpected key to recognition: a single averaged snapshot is enough. Only nine joints out of dozens carried the crucial information — the rest hardly mattered.
Topology by Aroma: How One Spin Gives Away the Quantum Phase
For a long time, identifying quantum phases was like interrogating a witness: you had to reach every corner of the system to uncover its secret. In the era of Landau, order was tied to symmetry breaking and a local parameter — everything plain as day.
General Relativity2026-05-262 minarXiv:2605.27514express
How to Tell a Quantum Crystal from a Foam
Spacetime is often pictured as a smooth fabric. But at the very microscopic level, this fabric might not be continuous; instead, it could consist of individual 'atoms'—events linked by causality. This picture of the world is called causal set theory.
Quantum Physics2026-05-241 minarXiv:2605.25302express
Causality: Why It Can't Be Measured
The quantum world plays a strange game with causality. If in everyday life salt is always added to soup before serving, here the ingredients end up in the bowl at the same time, and the chef doesn't remember the order. Physicists asked: can we measure this 'recipe'? The answer is no.
Image Processing2026-05-223 minarXiv:2605.24179express
Why Your Hand Trembles but Your Legs Won't Move
For one person, the disease begins with a tremor in the hand — the cup dances on its saucer as they carry it to the table. For another, the legs suddenly refuse to move smoothly: the step becomes short and shuffling, as if the floor were suddenly covered in a sticky layer. These are not two different diseases but two faces of the same one — Parkinson's disease.
q-bio.QM2026-05-162 minarXiv:2605.16753express
Where Does Life Draw the Line?
A tightrope walker inches across a chasm. As long as they keep their balance and avoid sudden moves, they're safe. But one overcorrection, and a fall is inevitable. Life works much the same way at every level — from proteins inside a cell to entire ecosystems.
Statistical Mech2026-05-161 minarXiv:2605.17004express
A Network Where Connections Befriend in Trios
At a party, guests don't just chat in pairs; they gather in circles of shared interests: three discussing movies, four debating sports. The usual acquaintance map, like a phone's contact list, can't capture that: it only sees one-on-one links.
Machine Learning2026-05-082 minarXiv:2605.07878express
Why Some Questions Work and Others Don't
You're trying a dish at a restaurant, but you haven't seen the menu. You ask the waiter questions — too salty? what spices?—and from the answers you try to guess what kind of chef prepared it.
q-bio.PE2026-05-062 minarXiv:2605.04498express
The Great Filter Is Not a Chain but a Tangled Ball
A vast hall with a thousand doors, and only one leads to the stars. The rest are locked, and the keys aren't just hidden: they're wrapped in other keys and tangled into a knot. That's the Great Filter in a new reading: not a chain of failures but a tangled hierarchy where each step depends on the previous one nonlinearly.
General Relativity2026-05-042 minarXiv:2605.02453express
How to Hear a Crack in the Fabric of the Universe
The symphony plays, but a barely perceptible wrong note has crept into the score. This is roughly how physicists search for deviations from general relativity in the 'sounds' of the universe — gravitational waves from merging black holes.
How the Brain Balances on the Edge
The brain is like a multi-story building: lower floors process simple signals, while upper floors assemble them into complex perceptions. Scientists have long suspected that this order is tied to how neurons work together. But exactly how has remained a puzzle.
Materials2026-04-101 minarXiv:2604.09758express
Smell Is Not a Single Formula
The nose is an amazing instrument. A single coffee molecule entering a nostril can awaken a memory of a morning kitchen. Another, nearly identical in shape, smells like rotten eggs.
Biological Physics2026-03-031 minarXiv:2603.03547express
Microbial Communities: How to Find the Key Players
Microbial communities are like a noisy orchestra: thousands of instruments, and it's hard to tell who's playing the lead. In the gut, ocean, or soil, millions of bacterial species live, and scientists need to figure out which ones truly matter for human health or soil fertility. The new approach works like smart laundry sorting.
Machine Learning2026-03-011 minarXiv:2603.01274express
Transparent Chemistry: How AI Explains Its Predictions
A medicinal chemist is like a detective searching for the right compound among millions of suspects. Modern neural networks speed up the search but behave like a witness who says "it's him" and refuses to elaborate. In pharma, such secrecy is dangerous: a spurious correlation could send a toxic compound to the next stage of trials.
Machine Learning2026-02-192 minarXiv:2602.17531express
ECG Without Rose-Colored Glasses
An ECG is not just a wavy line on paper. Like a diary, it records the state of the entire heart: rhythm, wall thickness, and hints of future problems. But currently, programs that learn to read this diary are trained on very narrow tasks — mostly detecting arrhythmias. That's like teaching someone to understand a book by showing them only a list of typos.
Statistical Mech2026-02-162 minarXiv:2602.15185express
Complexity on the Edge of Order and Chaos
A magnetic film divided into tiny arrow-shaped cells behaves like a crowd in a square. While it's cold, all arrows point in the same direction — perfect order. Heat the film, and the arrows start darting around like pedestrians who have lost their purpose. Somewhere between these extremes, there is a moment when the system stops being uniform but hasn't yet dissolved into random noise.
q-bio.BM2026-01-311 minarXiv:2602.00660express
How Proteins Find Their Minimum
To tell one protein from another, you need to describe its shape and composition. There are dozens of such descriptions: molecular length, charge, solubility. But not all are equally useful. A method called Differentiable Information Imbalance (DII) can pick out the most informative features while discarding the rest.
High Energy2026-01-262 minarXiv:2601.18139express
How a neural network tells black holes from neutron stars
For years, an X-ray telescope in orbit recorded how binary systems shine, where an ordinary star orbits a black hole or a neutron star. Matter from the companion falls onto the compact object, heats up to millions of degrees, and emits X-rays.
Materials2026-01-242 minarXiv:2601.17262express
Crystal Map: How to Sort Through Millions of Images
An electron microscope scans a sample and records how electrons scatter off atoms at each point. The result is a giant stack of images — one for every point. These images encode information about how atoms are arranged: in neat rows or with a tilt, the orientation of the crystal lattice, and whether there are internal strains.
stat.ME2020-10-053 minarXiv:2010.02247
A Causal Map Without Intervention
An orchestra without a conductor plays in harmony, and you want to understand who influences whom. The violinist hears the cello, the cellist catches the rhythm of the percussion, and the flute adapts to everyone at once.
How to Make Images Taken in Different Languages Get Along
Two images of the same place: one taken in the morning from a drone, the other in the evening from a satellite. The first shows shadows from trees, the second shows glints on the water. It's like two accounts of the same event in different dialects: the words are similar, but the grammar is different.
Where Does the Boundary Lie: Algorithm Finds Groups by Gaps in Data
Imagine a border river that separates two countries. On one bank live one group of people, on the other, another. The boundary between them is not always obvious: in some places the river is wide and calm, in others narrow and turbulent. But it is exactly where the current changes abruptly that the border becomes most noticeable.
Depth as a Measure of Natural Complexity
A team assembling a jigsaw puzzle from random pieces: how many simultaneous moves does it take to complete the picture? If the pieces are independent, they all go down at once. If each piece depends on the previous one, you have to work one at a time. So it is with systems: some states assemble instantly, others require a long sequential effort.
cs.PL2011-09-053 minarXiv:1109.0786
Properties as a Compass: Precise Programming
Fog thickens over the line "def max(a: Int, b: Int): Int". What does it do? It returns the larger of two numbers, but how can you verify that? You could write a dozen tests with specific pairs: max(2,3)=3, max(5,5)=5, max(-1,0)=0. Still, a nagging doubt remains: what if it breaks for, say, a million and minus a million?