Spectrum clustering output files for falcon, MS-Cluster, and spectra-cluster. The hyperparameters used are the following: - falcon: eps 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35 - MS-Cluster: mixture-prob 0.0001, 0.001, 0.005, 0.01, 0.05, 0.1, 0.2; num-rounds 3 - spectra-cluster: threshold_start 1; threshold_end 0.99999, 0.9999, 0.99, 0.99, 0.95, 0.9, 0.8, 0.7; rounds
In many applications, we need to cluster large-scale data objects. However, some recently proposed c...
International audienceAims. The aims are to investigate the clustering of the far-infrared sources f...
International audienceWe address the problem of hyperspectral image (HSI) pixel partitioning using n...
Spectrum clustering results for falcon, MaRaCluster, MS-Cluster, msCRUSH, and spectra-cluster on the...
Rationale: Advanced algorithmic solutions are necessary to process the ever increasing amounts of ma...
As current shotgun proteomics experiments can produce gigabytes of mass spectrometry data per hour, ...
Modern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has ...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra(MS/M...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra. Spe...
The spectral clustering algorithm has been shown to be very effective in finding clusters of non-lin...
Abstract. Spectral clustering algorithm has been shown to be more effective in finding clusters than...
Tandem mass spectrometry, also known as MS/MS, is an analytical technique to measure the mass-to-cha...
In this paper we discuss various methods for clustering in order to determine estimates of the clust...
International audienceSummary k-Means is a standard algorithm for clustering data. It constitutes ge...
High-throughput proteomics experiments typically generate large amounts of peptide fragmentation mas...
In many applications, we need to cluster large-scale data objects. However, some recently proposed c...
International audienceAims. The aims are to investigate the clustering of the far-infrared sources f...
International audienceWe address the problem of hyperspectral image (HSI) pixel partitioning using n...
Spectrum clustering results for falcon, MaRaCluster, MS-Cluster, msCRUSH, and spectra-cluster on the...
Rationale: Advanced algorithmic solutions are necessary to process the ever increasing amounts of ma...
As current shotgun proteomics experiments can produce gigabytes of mass spectrometry data per hour, ...
Modern mass spectrometers can produce mass spectra data at a very high rate. Usually, this data has ...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra(MS/M...
Large-scale proteomics projects often generate massive and highly redundant tandem mass spectra. Spe...
The spectral clustering algorithm has been shown to be very effective in finding clusters of non-lin...
Abstract. Spectral clustering algorithm has been shown to be more effective in finding clusters than...
Tandem mass spectrometry, also known as MS/MS, is an analytical technique to measure the mass-to-cha...
In this paper we discuss various methods for clustering in order to determine estimates of the clust...
International audienceSummary k-Means is a standard algorithm for clustering data. It constitutes ge...
High-throughput proteomics experiments typically generate large amounts of peptide fragmentation mas...
In many applications, we need to cluster large-scale data objects. However, some recently proposed c...
International audienceAims. The aims are to investigate the clustering of the far-infrared sources f...
International audienceWe address the problem of hyperspectral image (HSI) pixel partitioning using n...