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Clustering approaches for high‐dimensional databases: A review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-28349-8_2openalex-snapshot
A Survey of Clustering Data Mining Techniques
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Parallel Algorithms for Discovery of Association Rules
inferredcites →https://doi.org/10.1007/s007780050009openalex-snapshot
WaveCluster: a wavelet-based clustering approach for spatial data in very large databases
inferredcites →https://doi.org/10.1007/s10115-012-0609-3openalex-snapshot
High-dimensional clustering: a clique-based hypergraph partitioning framework
inferredcites →https://doi.org/10.1007/s10462-004-4304-yopenalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1007/s11548-016-1437-9openalex-snapshot
Analysis of k-means clustering approach on the breast cancer Wisconsin dataset
inferredcites →https://doi.org/10.1007/s40012-016-0090-3openalex-snapshot
Fuzzy model generation using Subtractive and Fuzzy C-Means clustering
inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-snapshot
FCM: The fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1016/0167-9473(86)90009-5openalex-snapshot
Statistical data analysis based on the L1 norm
inferredcites →https://doi.org/10.1016/j.autcon.2013.04.001openalex-snapshot
Developing a fuzzy model based on subtractive clustering for road header performance prediction
inferredcites →https://doi.org/10.1016/j.enconman.2014.11.010openalex-snapshot
A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting
inferredcites →https://doi.org/10.1016/j.infsof.2003.07.003openalex-snapshot
FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting
inferredcites →https://doi.org/10.1016/j.isprsjprs.2012.04.001openalex-snapshot
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
inferredcites →https://doi.org/10.1016/j.jocs.2013.11.005openalex-snapshot
TSD based framework for mining the induction rules
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot
Data clustering: 50 years beyond K-means
inferredcites →https://doi.org/10.1016/j.specom.2006.07.006openalex-snapshot
Hard C-means clustering for voice activity detection
inferredcites →https://doi.org/10.1016/s0925-2312(98)00030-7openalex-snapshot
The self-organizing map
inferredcites →https://doi.org/10.1023/a:1012801612483openalex-snapshot
On Clustering Validation Techniques
inferredcites →https://doi.org/10.1023/a:1014046307775openalex-snapshot
Feature Generation Using General Constructor Functions
inferredcites →https://doi.org/10.1093/comjnl/32.3.220openalex-snapshot
Comparison of Hierarchic Agglomerative Clustering Methods for Document Retrieval
inferredcites →https://doi.org/10.1109/2.781637openalex-snapshot
Chameleon: hierarchical clustering using dynamic modeling
inferredcites →https://doi.org/10.1109/5326.669556openalex-snapshot
ITERATE: a conceptual clustering algorithm for data mining
inferredcites →https://doi.org/10.1109/5326.897072openalex-snapshot
Neural networks for classification: a survey
inferredcites →https://doi.org/10.1109/91.940971openalex-snapshot
Low-complexity fuzzy relational clustering algorithms for Web mining
inferredcites →https://doi.org/10.1109/icde.1999.754967openalex-snapshot
ROCK: a robust clustering algorithm for categorical attributes
inferredcites →https://doi.org/10.1109/icde.2002.994771openalex-snapshot
δ-clusters: capturing subspace correlation in a large data set
inferredcites →https://doi.org/10.1109/icdm.2002.1183915openalex-snapshot
O-Cluster: scalable clustering of large high dimensional data sets
inferredcites →https://doi.org/10.1109/iciip.2011.6108856openalex-snapshot
Random automatic detection of clusters
inferredcites →https://doi.org/10.1109/tcyb.2015.2477416openalex-snapshot
A Hybrid Approach to Clustering in Big Data
inferredcites →https://doi.org/10.1109/tcyb.2017.2729542openalex-snapshot
Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering
inferredcites →https://doi.org/10.1109/tetc.2014.2330519openalex-snapshot
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
inferredcites →https://doi.org/10.1109/tip.2012.2219547openalex-snapshot
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
Least squares quantization in PCM
inferredcites →https://doi.org/10.1109/tkde.2002.1033770openalex-snapshot
CLARANS: a method for clustering objects for spatial data mining
inferredcites →https://doi.org/10.1109/tpami.2016.2609929openalex-snapshot
Clustering by Minimum Cut Hyperplanes
inferredcites →https://doi.org/10.1109/tsmcb.2008.2004559openalex-snapshot
K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective
inferredcites →https://doi.org/10.1111/j.1467-9868.2004.02059.xopenalex-snapshot
Clustering Objects on Subsets of Attributes (with Discussion)
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1007730.1007731openalex-snapshot
Subspace clustering for high dimensional data
inferredcites →https://doi.org/10.1145/1143844.1143875openalex-snapshot
Discriminative cluster analysis
inferredcites →https://doi.org/10.1145/1281192.1281233openalex-snapshot
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
inferredcites →https://doi.org/10.1145/1497577.1497578openalex-snapshot
Clustering high-dimensional data
inferredcites →https://doi.org/10.1145/276304.276314openalex-snapshot
Automatic subspace clustering of high dimensional data for data mining applications
inferredcites →https://doi.org/10.1145/276305.276314openalex-snapshot
Automatic subspace clustering of high dimensional data for data mining applications
inferredcites →https://doi.org/10.1145/304182.304188openalex-snapshot
Fast algorithms for projected clustering
inferredcites →https://doi.org/10.1145/312129.312199openalex-snapshot
Entropy-based subspace clustering for mining numerical data
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/342009.335383openalex-snapshot
Finding generalized projected clusters in high dimensional spaces
inferredcites →https://doi.org/10.1145/502512.502549openalex-snapshot
A robust and scalable clustering algorithm for mixed type attributes in large database environment
inferredcites →https://doi.org/10.1145/508791.508886openalex-snapshot
A new cell-based clustering method for large, high-dimensional data in data mining applications
inferredcites →https://doi.org/10.1145/564691.564739openalex-snapshot
A Monte Carlo algorithm for fast projective clustering
inferredcites →https://doi.org/10.1145/601858.601862openalex-snapshot
Clustering validity checking methods
inferredcites →https://doi.org/10.1166/jmihi.2016.1593openalex-snapshot
Ensemble Clustering Algorithm with Supervised Classification of Clinical Data for Early Diagnosis of Coronary Artery Disease
inferredcites →https://doi.org/10.13140/rg.2.2.20624.92164openalex-snapshot
Validation of k-means and Threshold based Clustering Method
inferredcites →https://doi.org/10.14257/astl.2016.133.07openalex-snapshot
Creating a Naïve Bayes Document Classification Scheme Using an Apriori Algorithm
inferredcites →https://doi.org/10.14569/ijacsa.2013.040406openalex-snapshot
Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
inferredcites →https://doi.org/10.1631/jzus.2006.a1626openalex-snapshot
An efficient enhanced k-means clustering algorithm
inferredcites →https://doi.org/10.2307/2344977openalex-snapshot
Pattern Classification and Scene Analysis.
inferredcites →https://doi.org/10.3233/ifs-1994-2306openalex-snapshot
Fuzzy Model Identification Based on Cluster Estimation
inferredcites →https://doi.org/10.5120/20873-3452openalex-snapshot
Comparative Analysis of Clustering Methods
inferredcites →https://doi.org/10.5120/316-484openalex-snapshot
Survey on Frequent Itemset Mining Algorithms
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Review of feature selection approaches based on grouping of features
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
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