Results 11 to 20 of about 1,888,648 (281)
Improved Deep Embedding Clustering with Ensemble Learning
Jisuanji kexue yu tansuo, 2021 Recently the rapid development of the deep learning technique has provided a powerful tool for the clustering research, and has given rise to quite a number of deep neural network-based clustering methods.
HUANG Yuxiang, HUANG Dong, WANG Changdong, LAI Jianhuang
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Hypergraph-Regularized Lp Smooth Nonnegative Matrix Factorization for Data Representation
Mathematics, 2023 Nonnegative matrix factorization (NMF) has been shown to be a strong data representation technique, with applications in text mining, pattern recognition, image processing, clustering and other fields.
Yunxia Xu +3 more
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High-dimensional data clustering [PDF]
Computational Statistics & Data Analysis, 2007 Clustering in high-dimensional spaces is a difficult problem which is recurrent in many domains, for example in image analysis. The difficulty is due to the fact that high-dimensional data usually live in different low-dimensional subspaces hidden in the original space.
Bouveyron, Charles +2 more
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Applied Sciences, 2022 Cities are considered complex and open environments with multidimensional aspects including urban forms, urban imagery, and urban energy performance.
Chenyi Cai, Mohamed Zaghloul, Biao Li
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Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design
Sensors, 2023 In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and capability in image generation and dimensionality reduction. The combination of VAE and various machine learning frameworks has also worked effectively in different ...
Hugo Wai Leung Mak +2 more
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K-RBBSO Algorithm: A Result-Based Stochastic Search Algorithm in Big Data
Applied Sciences, 2022 Clustering is widely used in client-facing businesses to categorize their customer base and deliver personalized services. This study proposes an algorithm to stochastically search for an optimum solution based on the outcomes of a data clustering ...
Sungjin Park, Sangkyun Kim
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Modern Business Data Analysis and Data Visualization: A Real-Time Fusion Study [PDF]
ITM Web of Conferences, 2023 In contemporary data science and analytics, data clustering is a small bucket that divides computation among various child nodes. The network’s capacity, specialized tools, and applications that cannot be trained quickly are among these methods ...
Priya J Suji +3 more
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Clustering Transactional Data [PDF]
, 2002 In this paper we present a partitioning method capable to manage transactions, namelyt uples of variable size of categorical data. We adapt the standard definition of mathematical distance used in the KMeans algorithm to represent dissimilarityam ong transactions, and redefine the notion of cluster centroid.
Giannotti F, Gozzi C, Manco G
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Histogram-based Feature Extraction for GPS Trajectory Clustering [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime.
Chi Nguyen +4 more
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Proceedings of the 7th International Conference on Data Science, Technology and Applications, 2018 abstract
Michele Ianni +3 more
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