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05:31 Unsupervised Learning Unsupervised Learning	Unsupervised Learning Unsupervised Learning hds dataset learning cluster clusters features pca component algorithm instance components variance direction reduction assignment point dimensions words dimensionality centers points From Dimitrios Doudesis on June 8th, 2020 0 likes 77 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like
03:25 Divisive clustering (top-down) Divisive clustering (top-down)	Divisive clustering (top-down) Divisive clustering (top-down) iaml hierarchical clustering points cluster means iteration clusters singleton algorithm subset groups property clustering factor instances base depth splits iterations half operation complexity From Nigel Goddard on September 25th, 2016 1 likes 1,415 plays 0 Licence Type Creative Commons - Attribution
07:59 Lance-Williams algorithm Lance-Williams algorithm	Lance-Williams algorithm Lance-Williams algorithm iaml hierarchical clustering distance cluster clusters constants numbers difference j. distances matrix algorithm argument rule minimum decay alright points things max result minus From Nigel Goddard on September 25th, 2016 1 likes 1,416 plays 0 Licence Type Creative Commons - Attribution
08:52 Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method	Single-link, complete-link, Ward's method Single-link, complete-link, Ward's method diameter chain point color yellow cluster individual connect measure caption complete clustering circles single linkage merge length smallest connecting distance metric deviation iaml internet protocols complete closest means merge red hierarchical clustering optical spectrum effects libertarian theory merging blue individualism distance algorithm average pretend iteration euclidean political philosophy euclidean geometry points clusters pairs pair deviations chains linkage centroid radius c2 c1 metric result From Nigel Goddard on September 25th, 2016 1 likes 1,671 plays 0 Licence Type Creative Commons - Attribution
05:03 Agglomerative clustering - dendrogram Agglomerative clustering - dendrogram	Agglomerative clustering - dendrogram Agglomerative clustering - dendrogram iaml hierarchical clustering distance clusters cluster points clustering threshold point dendrogram arc tree things space dataset decrease distances elbow drops function merge plot From Nigel Goddard on September 25th, 2016 1 likes 1,312 plays 0 Licence Type Creative Commons - Attribution
03:03 Agglomerative clustering (bottom-up) Agglomerative clustering (bottom-up)	Agglomerative clustering (bottom-up) Agglomerative clustering (bottom-up) iaml hierarchical clustering clusters distance cluster metric points algorithm iteration elements ci individual collection matrix operations implementation tree cj singleton point clustering idea From Nigel Goddard on September 25th, 2016 0 likes 1,341 plays 0 Licence Type Creative Commons - Attribution
04:06 Flat vs hierachical clustering Flat vs hierachical clustering	Flat vs hierachical clustering Flat vs hierachical clustering iaml hierarchical clustering clusters cluster hierarchy groupings level strategy bottom question pairs tree individuals subgroups individual subclusters point points bit algorithm means partition From Nigel Goddard on September 25th, 2016 1 likes 1,398 plays 0 Licence Type Creative Commons - Attribution
02:32 Introduction to mixture models Introduction to mixture models	Introduction to mixture models Introduction to mixture models iaml mixture-models clusters clustering cluster means probability methods parameters space distribution models mixture variances gaussian kind points ways dataset auto algorithm em From Nigel Goddard on September 25th, 2016 0 likes 1,801 plays 0 Licence Type Creative Commons - Attribution
01:45 Summary Summary	Summary Summary iaml k-means distance cluster variance clustering means configuration point centroids initializations representation image yellow red clusters points property media manhattan centroid notion From Nigel Goddard on September 25th, 2016 0 likes 1,001 plays 0 Licence Type Creative Commons - Attribution
02:24 Paired evaluation and Rand index Paired evaluation and Rand index	Paired evaluation and Rand index Paired evaluation and Rand index iaml k-means pairs clusters humans pair classes algorithm evaluation slide strategy cd dataset instances clustering reference bit effort alignment pairing advantage lecture From Nigel Goddard on September 25th, 2016 1 likes 1,409 plays 0 Licence Type Creative Commons - Attribution
12:50 Intrinsic evaluation and alignment Intrinsic evaluation and alignment	Intrinsic evaluation and alignment Intrinsic evaluation and alignment iaml k-means clusters cluster class reference accuracy clustering overlap alignment assignments positives evaluation c1 row points answer classes strategy problem c2 elements From Nigel Goddard on September 25th, 2016 1 likes 1,541 plays 0 Licence Type Creative Commons - Attribution
06:39 Evaluating clustering systems Evaluating clustering systems	Evaluating clustering systems Evaluating clustering systems iaml k-means clustering task cluster clusters classification images algorithm pairs classifier evaluation classes bit groups question centroids variance distance judgments bunch bitmaps From Nigel Goddard on September 25th, 2016 1 likes 1,509 plays 0 Licence Type Creative Commons - Attribution
05:12 Optimal number of clusters Optimal number of clusters	Optimal number of clusters Optimal number of clusters iaml k-means variance point clusters mountain validation centroids cluster practice centroid function means question rocks plot k. idea length description bit training From Nigel Goddard on September 25th, 2016 2 likes 1,477 plays 0 Licence Type Creative Commons - Attribution
04:16 The K-means algorithm The K-means algorithm	The K-means algorithm The K-means algorithm iaml k-means centroid points distance point step cluster j. centroids space instances iterations algorithm dimensions clusters formula a. function representation instance convergence From Nigel Goddard on September 25th, 2016 2 likes 1,397 plays 0 Licence Type Creative Commons - Attribution
03:46 Overview of k-means clustering Overview of k-means clustering	Overview of k-means clustering Overview of k-means clustering iaml k-means cluster lots question clusters attributes classes examples instance centroid individuals subpopulation means males machine vector labels bitmaps weight algorithm lecture From Nigel Goddard on September 25th, 2016 1 likes 1,485 plays 0 Licence Type Creative Commons - Attribution
04:00 Monothetic vs polythetic Monothetic vs polythetic	Monothetic vs polythetic Monothetic vs polythetic iaml k-means clustering cluster clusters methods individuals property mammals population monophasic algorithms birds dogs sharks penguins parents animals level weight point space From Nigel Goddard on September 25th, 2016 1 likes 1,523 plays 0 Licence Type Creative Commons - Attribution

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