Results 61 to 70 of about 1,195,838 (307)
Adaptive hierarchical clustering for hyperspectral image classification: Umbrella Clustering
Hyperspectral Imaging (HSI) utilises the reflectance information of a large number of contiguous spectral bands to solve various problems. However, the relative proximity of spectral signatures among classes can be exploited to generate an adaptive ...
S.S.P. Vithana +7 more
doaj +1 more source
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Exact and approximate algorithms for hierarchical clustering
openLo scopo di questa tesi `e cercare di colmare, almeno in parte, la poca organizzazione del materiale legato allo hierarchical clustering che tutti noi possiamo reperire liberamente in rete.
ZATTRA, RICCARDO
core
Large scale clustering of protein sequences with FORCE - a layout based heuristic for weighted cluster editing [PDF]
Wittkop T, Baumbach J, Lobo FP, Rahmann S. Large scale clustering of protein sequences with FORCE - a layout based heuristic for weighted cluster editing. BMC Bioinformatics.
Wittkop, Tobias +11 more
core +1 more source
The Price of Hierarchical Clustering
Abstract Hierarchical Clustering is a popular tool for understanding the hereditary properties of a data set. Such a clustering is actually a sequence of clusterings that starts with the trivial clustering in which every data point forms its own cluster and then successively merges two existing clusters until all points are in the same ...
Anna Arutyunova, Heiko Röglin
openaire +5 more sources
Exploiting Homogeneity of Density in Incremental Hierarchical Clustering [PDF]
Hierarchical clustering is an important tool in many applications. As it involves a large data set that proliferates over time, reclustering the data set periodically is not an efficient process.
Dwi H. Widiyantoro
doaj
Higra: Hierarchical Graph Analysis
Higra — Hierarchical Graph Analysis is a C++/Python library for efficient sparse graph analysis with a special focus on hierarchical methods capable of handling large amount of data.
B. Perret +5 more
doaj +1 more source
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
HIERARCHICAL CLUSTERING AND THE BAO SIGNATURE [PDF]
3 pages, 1 figure, Proceedings of the 13th Marcel Grossman Meeting on General Relativity (Stockholm, Sweden, July 1 - 7, 2012), invited talk at the Parallel Session OC4 "New developments in the study of the large scale structure of the Universe"
Hellwing, Wojciech A. +3 more
openaire +3 more sources
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

