The following pages link to On the number of clusters (Q1350805):
Displaying 34 items.
- Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads (Q263223) (← links)
- Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables (Q481914) (← links)
- On the number of groups in clustering (Q645416) (← links)
- MCS: A method for finding the number of clusters (Q649160) (← links)
- Clustering of functional data in a low-dimensional subspace (Q695680) (← links)
- A fuzzy hybrid hierarchical clustering method with a new criterion able to find the optimal partition (Q698781) (← links)
- Clustering with the average silhouette width (Q830092) (← links)
- A fuzzy extension of the silhouette width criterion for cluster analysis (Q853409) (← links)
- Newtonian clustering: an approach based on molecular dynamics and global optimization (Q877118) (← links)
- Identifying cluster number for subspace projected functional data clustering (Q901600) (← links)
- A method of predicting the number of clusters using Rand's statistic (Q959433) (← links)
- The structural clustering and analysis of metric based on granular space (Q991254) (← links)
- Dealing with label switching in mixture models under genuine multimodality (Q1006666) (← links)
- Two hierarchies associated with each clustering scheme (Q1067718) (← links)
- Functional factorial \(K\)-means analysis (Q1623660) (← links)
- A process monitoring module based on fuzzy logic and pattern recognition (Q1879779) (← links)
- Unsupervised stratification of cross-validation for accuracy estimation (Q1978232) (← links)
- Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes (Q2209720) (← links)
- Optimal string clustering based on a Laplace-like mixture and EM algorithm on a set of strings (Q2323348) (← links)
- On the number of incipient spanning clusters (Q2565170) (← links)
- Estimation of the number of clusters and influence zones (Q2762449) (← links)
- A novel dynamic minimum spanning tree based clustering method for image mining (Q2895977) (← links)
- A Clustering Method for Categorical Ordinal Data (Q3006267) (← links)
- A New Similarity Measure and Its Use in Determining the Number of Clusters in a Multivariate Data Set (Q3155347) (← links)
- Constructing $7$-clusters (Q3187633) (← links)
- Estimating the number of clusters (Q4521145) (← links)
- How Many Clusters? An Information-Theoretic Perspective (Q4664508) (← links)
- (Q4836267) (← links)
- Selection of the number of clusters in functional data analysis (Q5040518) (← links)
- Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering (Q5066394) (← links)
- Cluster analysis: a further approach based on density estimation. (Q5941334) (← links)
- Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score (Q6097556) (← links)
- Least-squares bilinear clustering of three-way data (Q6161666) (← links)
- Estimating the number of clusters in multivariate data by various fittings of the \(L\)-curve (Q6653951) (← links)
