Results 31 to 40 of about 43,162 (235)
ClickClust: An R Package for Model-Based Clustering of Categorical Sequences
Journal of Statistical Software, 2016 The R package ClickClust is a new piece of software devoted to finite mixture modeling and model-based clustering of categorical sequences. As a special kind of time series, categorical sequences, also known as categorical time series, exhibit a time ...
Volodymyr Melnykov
doaj +1 more source
International Journal of Advanced Robotic Systems, 2020 Serious noise pollution and background interference bring great difficulties to infrared image segmentation of electronic equipment. A novel infrared image segmentation method based on multi-information fused fuzzy clustering method is proposed in this ...
Can Qi +5 more
doaj +1 more source
Searching remote homology with spectral clustering with symmetry in neighborhood cluster kernels. [PDF]
PLoS ONE, 2013 Remote homology detection among proteins utilizing only the unlabelled sequences is a central problem in comparative genomics. The existing cluster kernel methods based on neighborhoods and profiles and the Markov clustering algorithms are currently the ...
Ujjwal Maulik, Anasua Sarkar
doaj +1 more source
A Modified Markov Clustering Approach for Protein Sequence Clustering [PDF]
, 2008 In this paper we propose a modified Markov clustering algorithm for efficient clustering of large protein sequence databases, based on previously evaluated sequence similarity criteria. The proposed alteration consists in an exponentially decreasing inflation rate, which aims at helping the quick creation of the hard structure of clusters by using a ...
Lehel Medvés +2 more
openaire +1 more source
Applied SciencesThe spectrums of one type of object under different conditions have the same features (up, down, protruding, concave) at the same spectral positions, which can be used as primary parameters to evaluate the difference among remotely sensed pixels.
Zhaohui Wang
doaj +1 more source
Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users
Sensors, 2019 As an emerging class of spatial trajectory data, mobile user trajectory data can be used to analyze individual or group behavioral characteristics, hobbies and interests.
Hongjun Wang, Zhen Yang, Yingchun Shi
doaj +1 more source
PolSAR Image Classification Method Based on Markov Discriminant Spectral Clustering
Leida xuebao, 2019 Due to the existing spectral clustering methods have low accuracy for PolSAR image classification, a Markov-based Discriminative Spectral Clustering(MDSC) method is proposed, which has the characteristics of low-rank and sparse decomposition.
ZHANG Xiangrong +4 more
doaj +1 more source
Graph-based data clustering via multiscale community detection
Applied Network Science, 2020 We present a graph-theoretical approach to data clustering, which combines the creation of a graph from the data with Markov Stability, a multiscale community detection framework. We show how the multiscale capabilities of the method allow the estimation
Zijing Liu, Mauricio Barahona
doaj +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Multi-Document Summarization Using Tuna Swarm Optimization and Markov Clustering
JOIV: International Journal on Informatics VisualizationThe Internet contains a large number of documents from various sources with similar content. The contents of documents that are almost identical will lead to news redundancy, making it difficult for readers to distinguish between factual information and ...
I Made Widiartha +4 more
doaj +1 more source