Results 51 to 60 of about 225,995 (267)
Exploiting Homogeneity of Density in Incremental Hierarchical Clustering [PDF]
ITB Journal of Engineering Science, 2006 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
Interactive interpretation of hierarchical clustering [PDF]
Intelligent Data Analysis, 1997 Automatic clustering methods are part of data mining methods. They aim at building clusters of items so that similar items fall into the same cluster while unsimilar items fall into separate clusters. A particular class of clustering methods are hierarchical ones where recursive clusters are formed to grow a binary tree representing an approximation of
Eric Boudaillier, Georges Hébrail
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Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
Examination of Clustering in Eutectic Microstrcture
Archives of Metallurgy and Materials, 2017 The eutectic microstructures are complex microstructures and a hard work to describe it with few numbers. The eutectics builds up eutectic cells. In the cells the phases are clustered.
Bortnyik K., Barkóczy P.
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A Cooperative Binary-Clustering Framework Based on Majority Voting for Twitter Sentiment Analysis
IEEE Access, 2020 Twitter sentiment analysis is a challenging problem in natural language processing. For this purpose, supervised learning techniques have mostly been employed, which require labeled data for training.
Maryum Bibi +5 more
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IDENTIFYING WAREHOUSE LOCATION USING HIERARCHICAL CLUSTERING [PDF]
Transport Problems, 2016 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
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Hierarchical Hexagonal Clustering and Indexing [PDF]
Symmetry, 2019 Space-filling curves (SFCs) represent an efficient and straightforward method for sparse-space indexing to transform an n-dimensional space into a one-dimensional representation. This is often applied for multidimensional point indexing which brings a better perspective for data analysis, visualization and queries.
Vojtech Uher +4 more
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Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
Molecular Oncology, EarlyView.In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
KomputikaDalam menghadapi era transformasi digital, masih terjadi ketimpangan pada kondisi keterampilan, akses dan fasilitas teknologi informasi dan komunikasi di Indonesia.
Rahma watin +3 more
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Hierarchical Clustering: Objective Functions and Algorithms [PDF]
Journal of the ACM, 2018 Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical clustering was based on providing algorithms, rather than optimizing a specific objective, Dasgupta framed similarity-based hierarchical clustering as a combinatorial optimization ...
Vincent Cohen-Addad +3 more
openaire +6 more sources