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Online cluster validity indices for performance monitoring of streaming data clustering
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Evolving Takagi‐Sugeno Fuzzy Systems from Streaming Data (eTS+)
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On Clustering Massive Data Streams: A Summarization Paradigm
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Pattern Recognition with Fuzzy Objective Function Algorithms
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An Examination of Procedures for Determining the Number of Clusters in a Data Set
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The ClusTree: indexing micro-clusters for anytime stream mining
inferredcites →https://doi.org/10.1016/0893-6080(95)00094-1openalex-snapshot
Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms
inferredcites →https://doi.org/10.1016/j.patcog.2012.07.021openalex-snapshot
An extensive comparative study of cluster validity indices
inferredcites →https://doi.org/10.1016/j.patcog.2016.12.003openalex-snapshot
Ground truth bias in external cluster validity indices
inferredcites →https://doi.org/10.1016/j.snb.2015.03.028openalex-snapshot
Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring
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A validity measure for fuzzy clustering
inferredcites →https://doi.org/10.1109/fuzzy.1993openalex-snapshot
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems
inferredcites →https://doi.org/10.1109/tfuzz.2008.925904openalex-snapshot
Evolving Fuzzy-Rule-Based Classifiers From Data Streams
inferredcites →https://doi.org/10.1109/tkde.2003.1198387openalex-snapshot
Clustering data streams: theory and practice
inferredcites →https://doi.org/10.1109/tpami.1979.4766909openalex-snapshot
A Cluster Separation Measure
inferredcites →https://doi.org/10.5430/air.v3n1p38openalex-snapshot
A statistical approach for clustering in streaming data
inferredcites →https://doi.org/10.5555/1756006.1953024openalex-snapshot
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
inferredcites →https://doi.org/10.7551/mitpress/11474.003.0014openalex-snapshot
Neural Information Processing Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimizing the C Index Using a Canonical Genetic Algorithm
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Dynamic Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets
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An Interactive Visualization System for Streaming Data Online Exploration
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Temporal silhouette: validation of stream clustering robust to concept drift
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EvolveCluster: an evolutionary clustering algorithm for streaming data
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Topological biclustering ARTMAP for identifying within bicluster relationships
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Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study
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On Evaluation of Data Stream Clustering Algorithms: A Survey
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Incremental Cluster Validity Index for Predicting Early Signs of Change in Data Streams
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Averaging Methods using Dynamic Time Warping for Time Series Classification
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Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes
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Incremental Cluster Validity Index-Guided Online Learning for Performance and Robustness to Presentation Order
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Fully Homomorphic Enabled Secure Task Offloading and Scheduling System for Transport Applications
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Meta-iCVIs: Ensemble Validity Metrics for Concise Labeling of Correct, Under- or Over-Partitioning in Streaming Clustering
inferred← citeshttps://doi.org/10.48550/arxiv.1902.06711openalex-snapshot
Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study
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