Model-aware categorical data embedding: a data-driven approach
type: Item
instance of: scholarly article
title: Model-aware categorical data embedding: a data-driven approach
zbMATH Open document ID: 1398.68470
author: Wentao Zhao
author: Qian Li
author: Chengzhang Zhu
author: Jianglong Song
author: Jianping Yin
author: Xinwang Liu
published in: Soft Computing
publication date: 2018-10-22T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6960505
zbMATH Keywords: categorical data
zbMATH Keywords: model-aware representation
zbMATH Keywords: data-driven representation
zbMATH Keywords: extreme learning machine
zbMATH Keywords: support vector machine
describes a project that uses: t-SNE
describes a project that uses: LMNN
MaRDI profile type: Publication
full work available at URL: s00500-018-3170-5
OpenAlex ID: W2801804234
cites work: Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number
cites work: Q2934001
cites work: Kernels and distances for structured data
cites work: Q4444192
cites work: Q5405129
cites work: On Information and Sufficiency
cites work: Improved support vector machine algorithm for heterogeneous data
cites work: Q3096207
cites work: Q4261789
cites work: Distance metric learning for large margin nearest neighbor classification
cites work: Q4386961
cites work: Q5405107
Wikidata QID: Q129916040
DOI: 10.1007/S00500-018-3170-5
description: scientific article; zbMATH DE number 6960505