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  2. A cluster is a group of similar or related objects that share some common characteristics1234.Examples of clusters include1234:
    • Market segments based on customer preferences or behavior
    • Social network communities based on shared interests or connections
    • Search results based on relevance or similarity
    • Medical images based on tissue types or diseases
    • Image segments based on color or texture
    • Anomalies based on deviation from normal patterns
    • Immunization coverage based on geographic areas or population groups
    • Waterfowl density based on habitat or season
    • Health status based on disaster impact or risk factors
    • Forest inventory based on tree species or size
    • Observations based on continuous or binary variables
    • Points based on visual closeness on a graph
    • Clusters based on distance connectivity, mean vectors, or statistical distributions
    Learn more:

    Some common applications for clustering include the following:

    • market segmentation
    • social network analysis
    • search result grouping
    • medical imaging
    developers.google.com/machine-learning/clusterin…

    Assess immunization coverage (Henderson & Sundaresan, 1982). Estimate density of waterfowl wintering (Smith, Conroy, & Brakhage, 1995). Conduct a rapid assessment of health in communities affected by natural disasters (Malilay, Flanders, & Brogan, 1996). Determine forest inventories (Roesch, 1993).

    www.simplypsychology.org/cluster-sampling.html
    Data clusters can be complex or simple. A complicated example is a multidimensional group of observations based on a number of continuous or binary variables, or a combination of both. A simple example is a two-dimensional group based on visual closeness between points on a graph.
    analystanswers.com/data-cluster-definition-exampl…

    Typical cluster models include:

    • Connectivity models: for example, hierarchical clustering builds models based on distance connectivity.
    en.wikipedia.org/wiki/Cluster_analysis
     
  3. People also ask
    What are examples of clustering?Examples of clusters can include genres of music, different groups of users, key segments of a market segmentation, types of network traffic on a server cluster, friend groups in a social network, or many other kinds of categories. The process of clustering can use just one feature of the data or it can use all of the features present in the data.
    What is a cluster sample?A cluster sample is a sampling method where the researcher divides the entire population into separate groups, or clusters. Then, a random sample of these clusters is selected. All observations within the chosen clusters are included in the sample. This method is typically used when the population is large, widely dispersed, and inaccessible.
    What are the different types of clusters?Clusters can be categorized into two main types based on their characteristics and composition: Homogeneous clusters consist of individuals or units that are similar or alike in relevant characteristics. For example, suppose a researcher is studying the effectiveness of a new teaching method in schools.
    What is an example of a cluster analysis?A simple example is a two-dimensional group based on visual closeness between points on a graph. The number of dimensions determined the complexity of the cluster, and thereby the type of cluster analysis needed to determine it.
     
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  5. Data Cluster: Definition, Example, & Cluster Analysis

    WEBA simple example is a two-dimensional group based on visual closeness between points on a graph. The number of dimensions determined the complexity of the cluster, and thereby the type of cluster analysis …

  6. WEBCluster sampling is defined as a sampling method where the researcher creates multiple clusters of people from a population where they are indicative of homogeneous characteristics and have an equal chance of …

  7. Cluster Sampling – Types, Method and Examples

  8. What Is Cluster Analysis? (Examples + Applications)

    WEBMar 7, 2023 · Data Science. What Is Cluster Analysis? We use cluster analysis in machine learning, image analysis, data mining and pattern recognition. Here’s how it works and when you’ll find it most useful. …

  9. What is Cluster Sampling? Definition, Methods, Examples

  10. WEBA group of twelve people are divided into pairs, and two pairs are then selected at random. In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings …

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