Quartile Clustering: A quartile based technique for Generating Meaningful Clusters
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Summary
It is argued that clusters having understandable and distinct semantics defined in terms of quartiles/halves are more appealing to business analysts than the clusters defined by data boundaries or prototypes.
- Type
- preprint
- Published
- 2012-03-19
- Cited by
- 17
- References
- 29
- Access
- Open access
- OpenAlex
- https://openalex.org/W47937546
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15071063
Keywords
Cluster analysis, Medoid, Computer science, Semantics (computer science), Quartile
References
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- Detecting money laundering and terrorist financing via data mining
- ROCK: a robust clustering algorithm for categorical attributes
- Anomaly detection: A survey
- BIRCH: A New Data Clustering Algorithm and Its Applications
- Survey of clustering algorithms
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- Data Mining: Concepts, Models, Methods, and Algorithms
- A density-based algorithm for discovering clusters in large spatial Databases with Noise
- Rock: A robust clustering algorithm for categorical attributes
- Applying Soft Cluster Analysis Techniques to Customer Interaction Information
- An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations
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- Immune profiling of deficient mismatch repair colorectal cancer (dMMR CRC) tumor microenvironment reveals different levels of immune system activation.
- Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data
- Integration of various scales for measurement of insomnia
- Estimating asset wealth using multidimensional luminous information in areas lacking nighttime light
- Normally distributed Health Related Quality of Life Measures
- Structural Dynamics, Marketing Pathways and Economic Performance of Nepalese Tea: Comparative Analysis of CTC and Orthodox Segments
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- Whose house is on fire? Identifying socio-demographic and housing characteristics driving differences in the UK household CO2 emissions
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