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Silhouette (clustering)

Known as: Silhouette (disambiguation), Silhouette analysis, Silhouette plot 
Silhouette refers to a method of interpretation and validation of consistency within clusters of data. The technique provides a succinct graphical… 
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Related topics

Related topics

8 relations
Cluster analysisDetermining the number of clusters in a data setDunn indexElbow method (clustering)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2020
Highly Cited
2020
MU-ID: Multi-user Identification Through Gaits Using Millimeter Wave Radios
Multi-user identification could facilitate various large-scale identity-based services such as access control, automatic… 
2017
2017
Improving ATM coverage area using density based clustering algorithm and voronoi diagrams
Highly Cited
2016
Highly Cited
2016
Document clustering: TF-IDF approach
Recent advances in computer and technology resulted into ever increasing set of documents. The need is to classify the set of… 
Highly Cited
2016
Highly Cited
2016
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams
Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly… 
2011
2011
Extended Gaussian kernel version of fuzzy c-means in the problem of data analyzing
Highly Cited
2008
Highly Cited
2008
Automated anthropometric data collection using 3D whole body scanners
Highly Cited
2007
Highly Cited
2007
Clustering Categorical Data Using Silhouette Coefficient as a Relocating Measure
Cluster analysis is an unsupervised learning method that constitutes a cornerstone of an intelligent data analysis process… 
Highly Cited
2006
Highly Cited
2006
3D Surface Reconstruction Using Graph Cuts with Surface Constraints
We describe a graph cut algorithm to recover the 3D object surface using both silhouette and foreground color information. The… 
Highly Cited
2004
Highly Cited
2004
Rendering complexity in computer-generated pen-and-ink illustrations
We present a method to aid in the generation of pen-and-ink style renderings of complex geometry. Most illustration algorithms… 
Highly Cited
1995
Highly Cited
1995
An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification
An experimental comparison of shape classification methods based on autoregressive modeling and Fourier descriptors of closed… 
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