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A new distance metric for unsupervised learning of categorical data

https://doi.org/10.1109/ijcnn.2014.6889890
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-37456-2_12openalex-snapshot
A Unified Metric for Categorical and Numerical Attributes in Data Clustering
inferredcites →https://doi.org/10.1007/978-3-642-51175-2_44openalex-snapshot
Proximity Coefficients between Boolean symbolic objects
inferredcites →https://doi.org/10.1007/978-4-431-65950-1_41openalex-snapshot
Extension based proximities between constrained Boolean symbolic objects
inferredcites →https://doi.org/10.1007/bf00993481openalex-snapshot
A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
inferredcites →https://doi.org/10.1007/bf01202268openalex-snapshot
Comparing resemblance measures
inferredcites →https://doi.org/10.1007/bf01896809openalex-snapshot
Metric and Euclidean properties of dissimilarity coefficients
inferredcites →https://doi.org/10.1016/0031-3203(91)90022-wopenalex-snapshot
Symbolic clustering using a new dissimilarity measure
inferredcites →https://doi.org/10.1016/0167-8655(91)90408-eopenalex-snapshot
Unsupervised learning through symbolic clustering
inferredcites →https://doi.org/10.1016/j.patcog.2013.01.027openalex-snapshot
Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number
inferredcites →https://doi.org/10.1016/j.patrec.2005.06.002openalex-snapshot
An association-based dissimilarity measure for categorical data
inferredcites →https://doi.org/10.1016/j.patrec.2006.06.006openalex-snapshot
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set
inferredcites →https://doi.org/10.1093/biomet/36.3-4.370openalex-snapshot
THE COMBINATION OF PROBABILITIES ARISING FROM DATA IN DISCRETE DISTRIBUTIONS
inferredcites →https://doi.org/10.1108/03684920410534506openalex-snapshot
Information Theory, Inference, and Learning Algorithms
inferredcites →https://doi.org/10.1109/21.148412openalex-snapshot
Symbolic clustering using a new similarity measure
inferredcites →https://doi.org/10.1109/21.286391openalex-snapshot
Generalized Minkowski metrics for mixed feature-type data analysis
inferredcites →https://doi.org/10.1109/tcbb.2005.17openalex-snapshot
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
inferredcites →https://doi.org/10.1109/tkde.2006.23openalex-snapshot
An integrated framework for visualized and exploratory pattern discovery in mixed data
inferredcites →https://doi.org/10.1109/tnn.2005.863415openalex-snapshot
Generalizing Self-Organizing Map for Categorical Data
inferredcites →https://doi.org/10.1109/tpami.2007.53openalex-snapshot
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm
inferredcites →https://doi.org/10.1111/j.1469-185x.1982.tb00376.xopenalex-snapshot
COEFFICIENTS OF ASSOCIATION AND SIMILARITY, BASED ON BINARY (PRESENCE‐ABSENCE) DATA: AN EVALUATION
inferredcites →https://doi.org/10.1137/1.9781611972788.22openalex-snapshot
Similarity Measures for Categorical Data: A Comparative Evaluation
inferredcites →https://doi.org/10.1145/312129.312201openalex-snapshot
CACTUS—clustering categorical data using summaries
inferredcites →https://doi.org/10.2307/2528080openalex-snapshot
A New Similarity Index Based on Probability

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.4690078openalex-extracted
A Categorical Representation of Multi-Feature Fusion for Mixed Attribute Data Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-23528-8_16openalex-snapshot
ConDist: A Context-Driven Categorical Distance Measure
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.01.020openalex-snapshot
A kernel-based intuitionistic weight fuzzy k-modes algorithm using coupled chained P system combines DNA genetic rules for categorical data
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8488994openalex-snapshot
Nominal Data Similarity: A Hierarchical Measure
inferred← citeshttps://doi.org/10.1109/tnnls.2016.2547058openalex-snapshot
Table of contents
inferred← citeshttps://doi.org/10.11591/ijece.v11i1.pp620-627openalex-snapshot
A space-structure based dissimilarity measure for categorical data
inferred← citeshttps://doi.org/10.2495/wrm190091openalex-snapshot
TREATMENT OF PESTICIDES PRESENT IN WATER BY POWDER ACTIVATED CARBON
inferred← citeshttps://doi.org/10.2495/wrm190101openalex-snapshot
MACHINE LEARNING AS A DECISION SUPPORT TOOL FOR WASTEWATER TREATMENT PLANT OPERATION
inferred← citeshttps://doi.org/10.24963/ijcai.2017/269openalex-snapshot
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning
inferred← citeshttps://doi.org/10.7287/peerj-cs.430v0.1/reviews/1openalex-snapshot
Peer Review #1 of "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.430v0.1/reviews/2openalex-snapshot
Peer Review #2 of "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.430v0.3/reviews/2openalex-snapshot
Peer Review #2 of "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes (v0.3)"
inferred← citeshttps://doi.org/10.7469/jksqm.2019.47.2.271openalex-snapshot
Categorical Data Clustering Analysis Using Association-based Dissimilarity
inferred← citeshttps://doi.org/10.7469/jksqm.2019.47.3.537openalex-snapshot
Association-based Unsupervised Feature Selection for High-dimensional Categorical Data
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