Year of publication
Type of media
Source
Subject
Type of material
TIB reading rooms collection
1–20 of 69,040 hits
Sort by:
Sort by:
-
Density‐based clustering
Wiley | 2020|Keywords: nonparametric clustering, semi‐supervised clustering, unsupervised clustering, flat clustering, hierarchical clustering -
Single-cell RNA-seq clustering: datasets, models, and algorithms
Free accessTaylor & Francis Verlag | 2020|Keywords: cell clustering, K-means clustering, hierarchical clustering, consensus clustering -
An incremental density-based clustering framework using fuzzy local clustering
Elsevier | 2020|Keywords: Incremental clustering, Density-based clustering, Fuzzy clustering, Stream data clustering -
Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index
Elsevier | 2019|Keywords: Clustering analysis, Grid clustering algorithm, Partitional clustering algorithm, Clustering validity index -
A Comprehensive Survey of Clustering Algorithms
Online Contents | 2015|Keywords: Clustering algorithm, Clustering, Clustering analysis -
An evolutionary many-objective approach to multiview clustering using feature and relational data
Elsevier | 2021|Keywords: Data clustering, Multiview clustering, Evolutionary clustering, Evolutionary multiobjective clustering -
From clustering to clustering ensemble selection: A review
Elsevier | 2021|Keywords: Data clustering, Clustering ensemble, Consensus clustering, Clustering ensemble selection -
Scalable and robust sparse subspace clustering using randomized clustering and multilayer graphs
Elsevier | 2019|Keywords: Sparse subspace clustering, Randomized clustering, Hierarchical clustering, Spectral clustering -
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Elsevier | 2020|Keywords: Image clustering, Transfer clustering, Multi-View clustering -
A new method for weighted ensemble clustering and coupled ensemble selection
Free accessTaylor & Francis Verlag | 2021|Keywords: Clustering ensemble, consensus clustering, weighted clustering, clustering -
Multi-view collaborative locally adaptive clustering with Minkowski metric
Elsevier | 2017|Keywords: Clustering, Multi-view clustering, Subspace clustering, Locally adaptive clustering -
Hierarchical Co-Clustering: Off-line and Incremental Approaches
Free accessBASE | 2014|Keywords: Co-clustering, Hierarchical clustering, Incremental clustering -
Dynamic graph-based label propagation for density peaks clustering
Elsevier | 2018|Keywords: Density peaks clustering, Soft clustering, Graph-based clustering -
K-means properties on six clustering benchmark datasets
Online Contents | 2018|Keywords: Clustering algorithms, Clustering quality -
Categorical data clustering: What similarity measure to recommend?
Elsevier | 2014|Keywords: Clustering, Clustering criterion, Clustering goal -
An Ensemble Clustering Framework Based on Hierarchical Clustering Ensemble Selection and Clusters Clustering
Taylor & Francis Verlag | 2023|Keywords: Clusters clustering, clustering ensemble selection, ensemble clustering, hierarchical clustering -
A survey on enhanced subspace clustering
Online Contents | 2012|Keywords: Subspace Clustering, High-Dimensional Clustering, Projected Clustering -
Revised DBSCAN algorithm to cluster data with dense adjacent clusters
Elsevier | 2012|Keywords: Clustering, Density-based clustering -
Multi-view spectral clustering via sparse graph learning
Elsevier | 2019|Keywords: Clustering, Spectral clustering -
DCC: a framework for dynamic granular clustering
Online Contents | 2016|Keywords: Dynamic clustering, Granular clustering
Send my search to (beta)
Send your search query (search terms without filters) to other databases, portals and catalogues to find more interesting hits.
Dimensions:
full data search
or
title and abstract search
Dimensions is a database for abstracts and citations that links information on research funding with the resulting publications, studies and patents.
TIB AV portal
In the TIB AV-Portal, audiovisual media from science and teaching can be foundand own scientific videos can be published.
Specialised Information Service for Mobility and Transport Research (FID move)
Open Research Knowledge Graph (ORKG)
The FID move can be used to search for subject-specific literature, research data and other information from mobility and transport research.
The Open Research Knowledge Graph provides structured descriptions of research content and makes it comparable.
Common Union Catalogue (GVK)
Freely accessible part of the collaborative K10plus catalogue with materials relevant for interlibrary loan and direct delivery services.