Results 81 to 90 of about 3,381,889 (354)
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering
Recently, Hierarchical Clustering (HC) has been considered through the lens of optimization. In particular, two maximization objectives have been defined. Moseley and Wang defined the \emph{Revenue} objective to handle similarity information given by a weighted graph on the data points (w.l.o.g., $[0,1]$ weights), while Cohen-Addad et al.
Vainstein, Danny +5 more
openaire +2 more sources
Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering
We propose two probability-like measures of individual cluster-membership certainty which can be applied to a hard partition of the sample such as that obtained from the Partitioning Around Medoids (PAM) algorithm, hierarchical clustering or k-means ...
Graham, Jinko, Liu, Dongmeng
core +2 more sources
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Aggregation of Individual Feature Based Similarities and Application to Hierarchical Clustering
The measure of similarity/dissimilarity is important to clustering algorithms. By using different similarity metrics, a clustering algorithm may achieve different clustering results.
N. Zhou, B.J. Xie, T. Wang
doaj +1 more source
Hierarchical Organization in Complex Networks
Many real networks in nature and society share two generic properties: they are scale-free and they display a high degree of clustering. We show that these two features are the consequence of a hierarchical organization, implying that small groups of ...
A. Vázquez +39 more
core +1 more source
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Abnormality Detection of Cast-Resin Transformers Using the Fuzzy Logic Clustering Decision Tree
Failures of cast-resin transformers not only reduce the reliability of power systems, but also have great effects on power quality. Partial discharges (PD) occurring in epoxy resin insulators of high-voltage electrical equipment will result in harmful ...
Chin-Tan Lee, Shih-Cheng Horng
doaj +1 more source
IDENTIFYING WAREHOUSE LOCATION USING HIERARCHICAL CLUSTERING [PDF]
Identifying the optimal warehouse location involves a series of qualitative and quantitative factors. The purpose of this study was to use hierarchical clustering to identify the optimal location for a warehouse, which would ensure the lowest cost, a ...
Sebastjan ŠKERLIČ, Robert MUHA
doaj +1 more source
Threshold-Based Hierarchical Clustering for Person Re-Identification
Unsupervised domain adaptation is a challenging task in person re-identification (re-ID). Recently, cluster-based methods achieve good performance; clustering and training are two important phases in these methods.
Minhui Hu +3 more
doaj +1 more source
Anytime Hierarchical Clustering [PDF]
We propose a new anytime hierarchical clustering method that iteratively transforms an arbitrary initial hierarchy on the configuration of measurements along a sequence of trees we prove for a fixed data set must terminate in a chain of nested partitions
Arslan, Omur, Koditschek, Daniel E.
core +3 more sources

