k-means clustering program Search Results


jmp software  (SAS institute)
90
SAS institute jmp software
Jmp Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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mev 4.9 software  (SourceForge net)
90
SourceForge net mev 4.9 software
Mev 4.9 Software, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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xlstat software  (Addinsoft inc)
90
Addinsoft inc xlstat software
Xlstat Software, supplied by Addinsoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spikesorter  (Cyberkinetics Neurotechnology Systems Inc)
90
Cyberkinetics Neurotechnology Systems Inc spikesorter
Spikesorter, supplied by Cyberkinetics Neurotechnology Systems Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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acdf cross validation analysis accurracy kaze feature detector k means clustering matlab software vision system toolbox  (MathWorks Inc)
96
MathWorks Inc acdf cross validation analysis accurracy kaze feature detector k means clustering matlab software vision system toolbox
Acdf Cross Validation Analysis Accurracy Kaze Feature Detector K Means Clustering Matlab Software Vision System Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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acdf cross validation analysis accurracy kaze feature detector k means clustering matlab software vision system toolbox - by Bioz Stars, 2026-06
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k-means clustering (kmc) method  (SAS institute)
90
SAS institute k-means clustering (kmc) method
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
K Means Clustering (Kmc) Method, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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k-means clustering (kmc) method - by Bioz Stars, 2026-06
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9.0 software  (TIBCO)
90
TIBCO 9.0 software
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
9.0 Software, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spotfire decision site software  (TIBCO)
90
TIBCO spotfire decision site software
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
Spotfire Decision Site Software, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spotfire decision site software - by Bioz Stars, 2026-06
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software package version 13.5.0.17  (TIBCO)
90
TIBCO software package version 13.5.0.17
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
Software Package Version 13.5.0.17, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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software package version 13.5.0.17 - by Bioz Stars, 2026-06
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genomics workbench program suite  (CLC Bio)
90
CLC Bio genomics workbench program suite
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
Genomics Workbench Program Suite, supplied by CLC Bio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/genomics workbench program suite/product/CLC Bio
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genomics workbench program suite - by Bioz Stars, 2026-06
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version 16 software  (SPSS Inc)
90
SPSS Inc version 16 software
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
Version 16 Software, supplied by SPSS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/version 16 software/product/SPSS Inc
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version 16 software - by Bioz Stars, 2026-06
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k-means dynamic clustering algorithm  (SAS institute)
90
SAS institute k-means dynamic clustering algorithm
Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).
K Means Dynamic Clustering Algorithm, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/k-means dynamic clustering algorithm/product/SAS institute
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k-means dynamic clustering algorithm - by Bioz Stars, 2026-06
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Image Search Results


Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).

Journal: Nature neuroscience

Article Title: Synaptic diversity enables temporal coding of coincident multi-sensory inputs in single neurons

doi: 10.1038/nn.3974

Figure Lengend Snippet: Identification of MF-GC input types using K-Means clustering analysis of EPSC properties. ( a ) Diagram of a parasagittal slice of cerebellar vermis, showing the vestibular region (lobule X) where single MF-GC connections were studied using extracellular stimulation and postsynaptic whole-cell voltage-clamp recording of unitary EPSCs. ( b ) Unitary EPSCs from individual trials (gray traces) and mean (black trace) from two example MF-GC synapses (arrowheads indicate timing of stimulation). EPSC peak amplitude, coefficient of variation of the peak amplitude (CV), and paired-pulse ratio (PPR) were used for cluster analysis. ( c ) Plot of the two principal components (PrinC) calculated using the K-Means clustering algorithm on 259 inputs. Data points are experiments in which blind stimulation was performed (n = 83 inputs). Black circles are the cluster centers with an area proportional to the number of points inside the cluster. The percentage of inputs in each cluster are indicated (%). Color-code is used throughout all figures referring to input groups. ( d ) Averaged traces, calculated from each cluster or “Group” (n inputs are 19, 44, 81, 74, and 41 for groups 1-5). ( e ) Summary plots of EPSC metrics according to group for all 259 inputs. Box plots represent quantiles (minimum, 25 %, median, 75 % and maximum values).

Article Snippet: An unsupervised K-Means clustering (KMC) method (JMP software, SAS, NC, USA) was used to identify putative input groups inside the whole population of inputs obtained from all experiments (n = 259 inputs).

Techniques: