"Clusterisation" Pronounce,Meaning And Examples

"Clusterisation" Natural Recordings by Native Speakers

Clusterisation
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"Clusterisation" Meaning

Clusterisation is a noun that refers to the process of grouping or aggregating things, such as data points, objects, or concepts, into clusters or categories based on their similarities or characteristics. This can be done in various fields, including data analysis, computer science, marketing, and biology. The goal of clusterisation is usually to identify patterns, relationships, or trends within the data or entities being analyzed.

"Clusterisation" Examples

Clustering


Clustering is a concept in statistics and data analysis that refers to the grouping of objects or data points into clusters based on their similarities.

Examples:


The company used clustering algorithms to group their customer base into segments with similar buying behaviors and preferences.
In ecology, clustering is used to group species of plants and animals based on their genetic similarities and evolutionary relationships.
The marketing team used clustering to segment their email list into clusters based on demographics, interests, and purchase history.
In healthcare, clustering is used to identify patient populations with similar health characteristics and treatment outcomes.
The archaeologists used clustering to group pottery fragments found at an ancient site into clusters based on their shape, size, and ornamentation.

Note: Clustering is not a commonly used word in English language. There might be some extreme cases where it is used in a specific context, but it is not a widely recognized or commonly used word. I would recommend using other related words like "grouping", "classification", "segmentation" or "pattern recognition" as they are more widely recognized and used in everyday language.

"Clusterisation" Similar Words

Clupeoid

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Clurichauns

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Clusiaceae

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Clusium

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Clusium is an ancient city located in what is now modern-day Italy. It is believed to have been founded by the Etruscans and was an important city in the region during the Roman Republic. Clusium is best known for being the city where the famous Roman general and statesman, Marcus Furius Camillus, defeated the Volsci in the early 5th century BCE. Today, the city is known as Chiusi and is a popular tourist destination due to its rich history and archaeological sites.

Clustal

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Clustal is a bioinformatics computer program used for multiple sequence alignment. It takes multiple nucleotide or protein sequences as input and produces an alignment of these sequences, clustering them into groups representing the distinct sequence families.

Cluster

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A cluster is a group of things, such as objects, people, or ideas, that are closely related or grouped together. It can also refer to a group of stars, galaxies, or other celestial bodies that are connected by gravity. In computing, a cluster can refer to a group of computers or nodes that work together to process large amounts of data or handle high traffic.

Clustered

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Clustering

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Clustering refers to the act of grouping or organizing things, such as data, objects, or ideas, into clusters or categories based on similarities, patterns, or relationships. This can be done to identify patterns, trends, or relationships that may not be immediately apparent, and to better understand or analyze the data or objects. Clustering can be applied in various fields, including mathematics, computer science, biology, and social sciences.

Clusterised

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Clusterization

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Clusterized

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I apologize, but "clusterized" is not a valid word in the English language. It's possible that you meant to type "clusterized" as a verb, but it is not recognized as a standard term.<br><br>However, I can suggest a similar word that might be related to the concept you're trying to convey: "cluster". A cluster can refer to a group of things that are closely related or form a cohesive unit. For example, a cluster of stars can refer to a group of stars that are gravitationally bound together.

Clusters

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Clutch

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Clutched

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Clutches

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Clutching

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