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Time Series Clustering: A Complex Network-Based Approach for Feature Selection in Multi-Sensor Data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Modeling of nonlinear system based on deep learning framework
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Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG
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A survey on feature selection methods
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Complex network approaches to nonlinear time series analysis
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Wrappers for feature subset selection
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Mixture models and exploratory analysis in networks
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Comparing community structure identification
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Fast unfolding of communities in large networks
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Finding and evaluating community structure in networks
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Fast algorithm for detecting community structure in networks
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Modularity from fluctuations in random graphs and complex networks
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Community detection in complex networks using extremal optimization
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Community detection as an inference problem
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Horizontal visibility graphs: Exact results for random time series
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Unsupervised clustering of ambulatory audio and video
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Unsupervised clustering with growing cell structures
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Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries
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Least squares quantization in PCM
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An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data
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A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
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Evaluation of Community Detection Methods
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Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation
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Canonical horizontal visibility graphs are uniquely determined by their degree sequence
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Lower Bounds for the Partitioning of Graphs
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COMPARING PEARSON, SPEARMAN AND HOEFFDING'S D MEASURE FOR GENE EXPRESSION ASSOCIATION ANALYSIS
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Distributional clustering of words for text classification
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An algorithm for planning collision-free paths among polyhedral obstacles
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Pattern Recognition Algorithms for Data Mining
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Dealing with Missing Values in Data
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The Identification of Blocs in Small Political Bodies
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Exploring Network Structure, Dynamics, and Function using NetworkX
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Online Streaming Feature Selection via Conditional Independence
inferredcites →https://doi.org/10.3390/en6020579openalex-snapshot
Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns
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The Development of Social Network Analysis
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Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
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Natural Scales in Geographical Patterns
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Recent Techniques of Clustering of Time Series Data: A Survey
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Challenges and trends in manufacturing measurement technology – the “Industrie 4.0” concept
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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