Clustering & Dimensionsreduktion

61 Methoden in dieser Familie.

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Aktive LernassoziationsregelnActive learning association rules combines the iterative query-and-label loop of active learning with association rule mining, allowing a human expert to guide the discovery proces Active Learning Autoencoder Anomaly DetectionActive Learning Autoencoder Anomaly Detection combines an autoencoder's unsupervised reconstruction-error scoring with an active learning query loop. The model flags high-error ins Active Learning Isolation ForestActive Learning Isolation Forest combines the unsupervised anomaly-scoring power of Isolation Forest with an iterative query strategy that asks a human expert to label the most inf Affinity Propagation ClusteringAffinity propagation, introduced by Brendan Frey and Delbert Dueck in 2007, is a clustering algorithm that identifies representative 'exemplars' among the data by exchanging messag Apriori-AlgorithmusThe Apriori algorithm, introduced by Agrawal and Srikant in 1994, is the foundational method for discovering frequent itemsets and association rules in transactional databases. It Assoziationsregel-Mining (Apriori)Association Rule Mining is an unsupervised data-mining technique that discovers co-occurrence patterns among items in transactional datasets. Formally introduced by Agrawal, Imieli

Leseweg

Die meistzitierten grundlegenden Methoden dieses Themas, in der Reihenfolge ihrer Entwicklung — ein Ausgangspunkt, wenn Sie hier neu sind.

Hierarchische Clusteranalyse1963von Ward, J. H.
K-means Clustering1967 (formalized 1982)von MacQueen, J. B.; Lloyd, S. P.
K-Means-Clustering1967von MacQueen, J.
DBSCAN1996von Ester, M., Kriegel, H.-P., Sander, J. & Xu, X.
One-Class SVM1999–2001von Scholkopf, B., Platt, J. C., Smola, A. J., Williamson, R. C.
Hauptkomponentenanalyse2002von Jolliffe, I.T. (textbook); Pearson & Hotelling (origins)
Autoencoder-Anomalieerkennung2006–2014von Hinton, G. E. & Salakhutdinov, R. R. (autoencoders); applied to anomaly detection through multiple authors in the 2010s
Isolation Forest2008von Liu, F.T., Ting, K.M. & Zhou, Z.-H.

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Aktive Lernassoziationsregeln Active Learning Autoencoder Anomaly Detection Active Learning Isolation Forest Affinity Propagation Clustering Apriori-Algorithmus Assoziationsregel-Mining (Apriori)Assoziationsregeln Autoencoder-Anomalieerkennung BIRCH DBSCAN ECLAT Frequent-Itemset Mining Ensemble-Apriori-Algorithmus Ensemble-Assoziationsregeln Ensemble Autoencoder Anomalieerkennung Ensemble HDBSCAN Ensemble Isolation Forest (Ensemble-Isolationswald)Ensemble K-Means (Ensemble-K-Mittel)Fuzzy C-Means Clustering (FCM)Gaußsches Mischmodell HDBSCAN Hierarchische Clusteranalyse Isolation Forest K-means Clustering K-Means-Clustering Kernel PCA Lokaler Ausreißerfaktor (LOF)Lokal Lineare Einbettung (LLE)Mean Shift One-Class SVM Online Association Rules Online Autoencoder Anomalieerkennung Online DBSCAN Online HDBSCAN Online Isolation Forest Online K-means OPTICS Hauptkomponentenanalyse Principal Components Regression (PCR)Zufällige Projektion Regularized Gaussian Mixture Model Regularisierte K-Means-Clusterbildung Robust Autoencoder Anomaly Detection Robuster HDBSCAN Robuster Isolation Forest Robuster k-Means Selbstorganisierende Karte (Kohonen-Karte)Selbstüberwachte Autoencoder-Anomalieerkennung Self-supervised DBSCAN Selbstüberwachtes Gaußsches Mischmodell Selbstüberwachter Isolation Forest Selbstüberwachtes K-Means Semi-überwachter Apriori-Algorithmus Halbüberwachte Assoziationsregeln Semi-supervised Autoencoder Anomalieerkennung Halbüberwachtes DBSCAN Halbüberwachtes HDBSCAN Halbüberwachte Isolation Forest Semi-überwachtes K-Means Spektrale Clusteranalyse t-SNE UMAP