On the public citation graph

P3C: A Robust Projected Clustering Algorithm

https://doi.org/10.1109/icdm.2006.123
0 signed · 97 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-49257-7_15openalex-snapshot
When Is “Nearest Neighbor” Meaningful?
inferredcites →https://doi.org/10.1073/pnas.96.12.6745openalex-snapshot
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
inferredcites →https://doi.org/10.1080/01621459.1990.10474920openalex-snapshot
Unmasking Multivariate Outliers and Leverage Points
inferredcites →https://doi.org/10.1109/icde.2005.96openalex-snapshot
On Discovery of Extremely Low-Dimensional Clusters Using Semi-Supervised Projected Clustering
inferredcites →https://doi.org/10.1109/tcbb.2004.2openalex-snapshot
Biclustering algorithms for biological data analysis: a survey
inferredcites →https://doi.org/10.1109/tkde.2004.74openalex-snapshot
HARP: a practical projected clustering algorithm
inferredcites →https://doi.org/10.1109/tkde.2005.47openalex-snapshot
Projective clustering by histograms
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/10.1145/276304.276314openalex-snapshot
Automatic subspace clustering of high dimensional data for data mining applications
inferredcites →https://doi.org/10.1145/304181.304188openalex-snapshot
Fast algorithms for projected clustering
inferredcites →https://doi.org/10.1145/304182.304188openalex-snapshot
Fast algorithms for projected clustering
inferredcites →https://doi.org/10.1145/335191.335383openalex-snapshot
Finding generalized projected clusters in high dimensional spaces
inferredcites →https://doi.org/10.1145/342009.335383openalex-snapshot
Finding generalized projected clusters in high dimensional spaces
inferredcites →https://doi.org/10.1145/564691.564739openalex-snapshot
A Monte Carlo algorithm for fast projective clustering

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4666280openalex-extracted
Modeling and Analyzing Social Networks of Games
inferred← citeshttps://doi.org/10.1002/sam.10062openalex-snapshot
Efficient mining of distance‐based subspace clusters
inferred← citeshttps://doi.org/10.1002/spe.2341openalex-snapshot
Iterative big data clustering algorithms: a review
inferred← citeshttps://doi.org/10.1007/978-1-4471-4890-6_2openalex-snapshot
Related Work and Concepts
inferred← citeshttps://doi.org/10.1007/978-1-4471-4890-6_3openalex-snapshot
Clustering Methods for Moderate-to-High Dimensionality Data
inferred← citeshttps://doi.org/10.1007/978-1-4471-4890-6_4openalex-snapshot
Halite
inferred← citeshttps://doi.org/10.1007/978-1-4471-4890-6_5openalex-snapshot
BoW
inferred← citeshttps://doi.org/10.1007/978-1-4471-4890-6_7openalex-snapshot
Conclusion
inferred← citeshttps://doi.org/10.1007/978-3-030-33778-0_6openalex-snapshot
A Sampling-Based Approach for Discovering Subspace Clusters
inferred← citeshttps://doi.org/10.1007/978-3-030-55187-2_42openalex-snapshot
Big Data Clustering Using MapReduce Framework: A Review
inferred← citeshttps://doi.org/10.1007/978-3-031-24628-9_11openalex-snapshot
Clustering High-Dimensional Data
inferred← citeshttps://doi.org/10.1007/978-3-319-02821-7_32openalex-snapshot
SE-Stream: Dimension Projection for Evolution-Based Clustering of High Dimensional Data Streams
inferred← citeshttps://doi.org/10.1007/978-3-319-07821-2_16openalex-snapshot
Frequent Pattern Mining Algorithms for Data Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-24282-8_24openalex-snapshot
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-46562-3_32openalex-snapshot
Dynamic Stream Clustering Using Ants
inferred← citeshttps://doi.org/10.1007/978-3-319-97864-2_2openalex-snapshot
Overview of Efficient Clustering Methods for High-Dimensional Big Data Streams
inferred← citeshttps://doi.org/10.1007/978-3-540-87481-2_44openalex-snapshot
Pleiades: Subspace Clustering and Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-662-43984-5_11openalex-snapshot
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering
inferred← citeshttps://doi.org/10.1007/978-81-322-2196-8_26openalex-snapshot
An Efficient Kernelized Fuzzy Possibilistic C-Means for High-Dimensional Data Clustering
inferred← citeshttps://doi.org/10.1007/s00500-021-05973-1openalex-snapshot
A meta-heuristic density-based subspace clustering algorithm for high-dimensional data
inferred← citeshttps://doi.org/10.1007/s10115-007-0090-6openalex-snapshot
Robust projected clustering
inferred← citeshttps://doi.org/10.1007/s10115-009-0226-yopenalex-snapshot
Subspace and projected clustering: experimental evaluation and analysis
inferred← citeshttps://doi.org/10.1007/s10115-013-0640-zopenalex-snapshot
GAMer: a synthesis of subspace clustering and dense subgraph mining
inferred← citeshttps://doi.org/10.1007/s10115-017-1031-7openalex-snapshot
Efficient Monte Carlo clustering in subspaces
inferred← citeshttps://doi.org/10.1007/s10618-018-0585-7openalex-snapshot
Explaining anomalies in groups with characterizing subspace rules
inferred← citeshttps://doi.org/10.1007/s10618-024-01086-zopenalex-snapshot
A comparative evaluation of clustering-based outlier detection
inferred← citeshttps://doi.org/10.1007/s10844-014-0319-2openalex-snapshot
Subspace clustering of data streams: new algorithms and effective evaluation measures
inferred← citeshttps://doi.org/10.1007/s11277-017-5044-zopenalex-snapshot
Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering
inferred← citeshttps://doi.org/10.1007/s41060-022-00327-yopenalex-snapshot
RASCL: a randomised approach to subspace clusters
inferred← citeshttps://doi.org/10.1016/j.datak.2019.05.003openalex-snapshot
SubspaceDB : In-database subspace clustering for analytical query processing
inferred← citeshttps://doi.org/10.1016/j.knosys.2013.08.015openalex-snapshot
Finding multiple global linear correlations in sparse and noisy data sets
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.09.034openalex-snapshot
Local graph based correlation clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.08.094openalex-snapshot
PTS: Projected Topological Stream clustering algorithm
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107748openalex-snapshot
Projected fuzzy C-means clustering with locality preservation
inferred← citeshttps://doi.org/10.1016/j.procs.2015.08.111openalex-snapshot
An Iterative Projective Clustering Method
inferred← citeshttps://doi.org/10.1109/fskd.2010.5569369openalex-snapshot
Frequent patterns-based subspace clustering
inferred← citeshttps://doi.org/10.1109/fskd.2013.6816286openalex-snapshot
An efficient projected partition algorithm based on the order among genes
inferred← citeshttps://doi.org/10.1109/icdm.2008.46openalex-snapshot
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy
inferred← citeshttps://doi.org/10.1109/icdm.2009.10openalex-snapshot
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data
inferred← citeshttps://doi.org/10.1109/icdm.2010.49openalex-snapshot
Multi-dimensional Mass Estimation and Mass-based Clustering
inferred← citeshttps://doi.org/10.1109/icdm.2011.70openalex-snapshot
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values
inferred← citeshttps://doi.org/10.1109/icdm.2013.146openalex-snapshot
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data
inferred← citeshttps://doi.org/10.1109/icmlc.2008.4620856openalex-snapshot
Bayesian network-Based Projected Clustering
inferred← citeshttps://doi.org/10.1109/ijcnn.2012.6252416openalex-snapshot
Dimension Selective Self-Organizing Maps for clustering high dimensional data
inferred← citeshttps://doi.org/10.1109/ijcnn.2012.6252668openalex-snapshot
A projective clustering algorithm based on significant local dense areas
inferred← citeshttps://doi.org/10.1109/tcss.2019.2910818openalex-snapshot
A Novel Stream Clustering Framework for Spam Detection in Twitter
inferred← citeshttps://doi.org/10.1109/tip.2017.2789327openalex-snapshot
Clusterability and Clustering of Images and Other “Real” High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/tkde.2008.224openalex-snapshot
Density Conscious Subspace Clustering for High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/tkde.2023.3323580openalex-snapshot
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder
inferred← citeshttps://doi.org/10.1109/tpwrs.2014.2309697openalex-snapshot
Subspace Projection Method Based Clustering Analysis in Load Profiling
inferred← citeshttps://doi.org/10.1137/1.9781611972795.16openalex-snapshot
DensEst: Density Estimation for Data Mining in High Dimensional Spaces
inferred← citeshttps://doi.org/10.1137/1.9781611972801.34openalex-snapshot
Subspace Clustering for Uncertain Data
inferred← citeshttps://doi.org/10.1145/1401890.1401956openalex-snapshot
Finding non-redundant, statistically significant regions in high dimensional data
inferred← citeshttps://doi.org/10.1145/1401890.1402026openalex-snapshot
Morpheus
inferred← citeshttps://doi.org/10.1145/1458082.1458227openalex-snapshot
EDSC
inferred← citeshttps://doi.org/10.1145/1497577.1497578openalex-snapshot
Clustering high-dimensional data
inferred← citeshttps://doi.org/10.1145/1645953.1646120openalex-snapshot
Detection of orthogonal concepts in subspaces of high dimensional data
inferred← citeshttps://doi.org/10.1145/2023598.2023605openalex-snapshot
An extension of the PMML standard to subspace clustering models
inferred← citeshttps://doi.org/10.1145/2063576.2063733openalex-snapshot
Scalable density-based subspace clustering
inferred← citeshttps://doi.org/10.1145/2063576.2063774openalex-snapshot
External evaluation measures for subspace clustering
inferred← citeshttps://doi.org/10.1145/2430456.2430469openalex-snapshot
On the equivalence of PLSI and projected clustering
inferred← citeshttps://doi.org/10.1145/2858657openalex-snapshot
Subspace Frequency Analysis--Based Field Indices Extraction for Electricity Customer Classification
inferred← citeshttps://doi.org/10.11606/t.55.2011.tde-22112011-083653openalex-snapshot
Data mining in large sets of complex data
inferred← citeshttps://doi.org/10.1201/b15027-10openalex-snapshot
Advanced Clustering Analysis
inferred← citeshttps://doi.org/10.14778/1454159.1454223openalex-snapshot
Detecting clusters in moderate-to-high dimensional data
inferred← citeshttps://doi.org/10.14778/1687627.1687770openalex-snapshot
Evaluating clustering in subspace projections of high dimensional data
inferred← citeshttps://doi.org/10.1504/ijscc.2011.042433openalex-snapshot
Hybrid-LWM: A linear-model based hybrid clustering algorithm for supplier categorisation
inferred← citeshttps://doi.org/10.26438/ijcse/v5i10.292301openalex-snapshot
A Brief Account of Iterative Big Data Clustering Algorithms
inferred← citeshttps://doi.org/10.3233/jifs-179372openalex-snapshot
Adapting ClusTree for more challenging data stream environments
inferred← citeshttps://doi.org/10.32469/10355/62341openalex-snapshot
An approach to clustering biological phenotypes
inferred← citeshttps://doi.org/10.4018/978-1-5225-5852-1.ch003openalex-snapshot
Subspace Clustering of High Dimensional Data Using Differential Evolution
inferred← citeshttps://doi.org/10.4018/978-1-60566-010-3.ch247openalex-snapshot
Projected Clustering for Biological Data Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.1708.05929openalex-snapshot
Explaining Anomalies in Groups with Characterizing Subspace Rules
inferred← citeshttps://doi.org/10.48550/arxiv.1806.05297openalex-snapshot
Pattern Dependence Detection using n-TARP Clustering
inferred← citeshttps://doi.org/10.48550/arxiv.1902.03616openalex-snapshot
ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"
inferred← citeshttps://doi.org/10.48550/arxiv.2008.09579openalex-snapshot
Clustering small datasets in high-dimension by random projection
inferred← citeshttps://doi.org/10.5120/1468-1983openalex-snapshot
Density Conscious Subspace Clustering for High Dimensional Data using Genetic Algorithms
inferred← citeshttps://doi.org/10.5120/6285-8468openalex-snapshot
A Modified Projected K-Means Clustering Algorithm with Effective Distance Measure
inferred← citeshttps://doi.org/10.5121/ijcsit.2010.2414openalex-snapshot
Clustering High Dimensional Data Using Subspace and Projected Clustering Algorithms
inferred← citeshttps://doi.org/10.5441/002/edbt.2014.06openalex-snapshot
Projected Clustering for Huge Data Sets in MapReduce
inferred← citeshttps://doi.org/10.70675/9778aca1z6601z4723za496z164c85caa7f9openalex-snapshot
Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms
inferred← citeshttps://doi.org/10.7939/r3vh5cz0sopenalex-snapshot
A New Method For Semi-Supervised Density-Based Projected Clustering
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 and goes through ORCID: icsacinstitute.org/submit.