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Msaidizi

Uundaji makundi na upunguzaji vipimo (DR)

61 mbinu katika familia hii.

Zilizoangaziwa

Sheria za Muungano za Kujifunza kwa VitendoActive 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 procesUchunguzi wa Hitilafu kwa Kutumia Kujifunza Amilifu na Kirejeshi KiotomatikiActive Learning Autoencoder Anomaly Detection combines an autoencoder's unsupervised reconstruction-error scoring with an active learning query loop. The model flags high-error insActive 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 infUpangaji wa Uenezaji wa UkaribuAffinity propagation, introduced by Brendan Frey and Delbert Dueck in 2007, is a clustering algorithm that identifies representative 'exemplars' among the data by exchanging messagAlgoriti ya AprioriThe Apriori algorithm, introduced by Agrawal and Srikant in 1994, is the foundational method for discovering frequent itemsets and association rules in transactional databases. It Uchimbaji wa Kanuni za Chama (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

Njia ya usomaji

Mbinu za msingi zinazorejelewa zaidi za mada hii, kwa mpangilio zilivyobuniwa — mahali pa kuanzia ikiwa wewe ni mgeni hapa.

  1. Ngeli ya Kiwango cha Juu (Hierarchical Clustering)1963na Ward, J. H.
  2. Uainishaji wa K-means1967 (formalized 1982)na MacQueen, J. B.; Lloyd, S. P.
  3. K-Means Clustering1967na MacQueen, J.
  4. DBSCAN1996na Ester, M., Kriegel, H.-P., Sander, J. & Xu, X.
  5. One-Class SVM1999–2001na Scholkopf, B., Platt, J. C., Smola, A. J., Williamson, R. C.
  6. Uchanganuzi wa Vipengele Vikuu2002na Jolliffe, I.T. (textbook); Pearson & Hotelling (origins)
  7. Uchambuzi wa kiotomatiki wa uhalifu (Autoencoder anomaly detection)2006–2014na Hinton, G. E. & Salakhutdinov, R. R. (autoencoders); applied to anomaly detection through multiple authors in the 2010s
  8. Isolation Forest2008na Liu, F.T., Ting, K.M. & Zhou, Z.-H.
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Mbinu zote 61

Sheria za Muungano za Kujifunza kwa VitendoUchunguzi wa Hitilafu kwa Kutumia Kujifunza Amilifu na Kirejeshi KiotomatikiActive Learning Isolation ForestUpangaji wa Uenezaji wa UkaribuAlgoriti ya AprioriUchimbaji wa Kanuni za Chama (Apriori)Sheria za UunganishajiUchambuzi wa kiotomatiki wa uhalifu (Autoencoder anomaly detection)BIRCHDBSCANUchimbaji wa vipengee-mara kwa mara wa ECLATAlgoriti ya Ensemble AprioriSheria za Chama cha EnsembleUtambuzi wa Anomali kwa Kutumia Ensemble AutoencoderEnsemble HDBSCANMsitu wa Kutenga wa EnsembleEnsemble K-meansUainishaji wa C-Means Unaochagua (FCM)Mfumo Mchanganyiko wa GaussiaHDBSCANNgeli ya Kiwango cha Juu (Hierarchical Clustering)Isolation ForestUainishaji wa K-meansK-Means ClusteringPCA ya KerneliKielelezo cha Nje cha Mtaa (LOF)Ufumbuzi wa Kina wa Kienyeji (LLE)Mean ShiftOne-Class SVMSheria za Chama cha MtandaoniUchanganuzi wa Anomali kwa Kutumia Autoencoder MtandaoniDBSCAN MtandaoniHDBSCAN MtandaoniMsitu wa Kutenga wa MtandaoniK-means mtandaoniOPTICSUchanganuzi wa Vipengele VikuuRegression ya vipengele vikuu (PCR)Njia ya Kuratibu NasibuMuundo wa Gaussian Mixture UlioimarishwaUwekaji K-Means UlioimarishwaUgunduzi Imara wa Hitilafu kwa Kutumia AutoencoderRobust HDBSCANIsolation Forest ImaraRobust k-meansRamani inayojipanga Yenyewe (Ramani ya Kohonen)Ugunduzi wa Anomali kwa Kutumia Autoencoder wa Kujifundisha PekeeDBSCAN inayojifundishaMofolojia ya Kujifundisha ya Mchanganyiko wa GaussianMsitu Tenga Unaojifunza WenyeweK-means chenye kujisomeshaAlgoriti ya Apriori yenye usimamizi-nusuSheria za Chama cha Semi-zilizosimamiwaUgunduzi wa Anomaly kwa Kutumia Autoencoder za Nusu-MsimamiziDBSCAN yenye usimamizi-nusuHDBSCAN yenye usimamizi nusuSemi-supervised Isolation ForestK-means Nusu-SimamiwaUkusanyaji wa Kikundi kwa Njia ya Spektra (Spectral Clustering)t-SNEUMAP