Results 21 to 30 of about 155,627 (235)
IEEE Access, 2020 Multiple SVR based on ensemble learning could be enhanced from the viewpoint of the performance, but the performance of modeling closely depends on the initial condition of the partitioning method and they are easily affected by noise and outliers.
Zheng Wang +4 more
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Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data [PDF]
, 2017 Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time series are multivariate (MTS), due to dependencies between attributes, or ...
Bianchi, Filippo Maria +3 more
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A Novel Density Peaks Clustering Algorithm with Isolation Kernel and K-Induction
Applied Sciences, 2022 Density peaks clustering (DPC) algorithm can process data of any shape and is simple and intuitive. However, the distance between any two high-dimensional points tends to be consistent, which makes it difficult to distinguish the density peaks and easily
Shichen Zhang, Kai Li
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Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce [PDF]
, 2014 The kernel $k$-means is an effective method for data clustering which extends the commonly-used $k$-means algorithm to work on a similarity matrix over complex data structures.
Elgohary, Ahmed +3 more
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IEEE Access, 2019 Although kernel fuzzy clustering can handle non-spherical clusters by mapping data to a more separable feature space, its performance is highly determined by the setting of kernels.
Yin-Ping Zhao +3 more
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Probabilistic Clustering of Time-Evolving Distance Data [PDF]
, 2015 We present a novel probabilistic clustering model for objects that are represented via pairwise distances and observed at different time points. The proposed method utilizes the information given by adjacent time points to find the underlying cluster ...
AK Jain +27 more
core +1 more source
ISPRS International Journal of Geo-Information, 2019 With the accelerated urbanization process, cities are suffering from extremely heavy rain and urban storm water logging disasters in recent years. To provide reliable and effective information for urban management and emergency decision-making, the ...
Yanmei Wang +4 more
doaj +1 more source
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification [PDF]
, 2015 Spatial Pyramid Matching (SPM) and its variants have achieved a lot of success in image classification. The main difference among them is their encoding schemes.
Peng, Xi +4 more
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Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises
IEEE Access, 2019 Kernel-based clustering methods can capture the non-linear structure and identify arbitrarily shaped clusters, so they have been widely used in machine learning tasks.
Peng Zhou, Fan Ye, Liang Du
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Twin Learning for Similarity and Clustering: A Unified Kernel Approach
, 2017 Many similarity-based clustering methods work in two separate steps including similarity matrix computation and subsequent spectral clustering. However, similarity measurement is challenging because it is usually impacted by many factors, e.g., the ...
Cheng, Qiang, Kang, Zhao, Peng, Chong
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