Slide 1

Slide 1 text

Learning Topology Topological Methods for Unsupervised Learning

Slide 2

Slide 2 text

A whirlwind tour of some topological data analysis techniques

Slide 3

Slide 3 text

Sound theory Practical application

Slide 4

Slide 4 text

A Topology Primer

Slide 5

Slide 5 text

Simplices

Slide 6

Slide 6 text

No content

Slide 7

Slide 7 text

Theorem 1 (Nerve theorem). Let U = {Ui }i2I be a cover of a topological space X. If, for all ⇢ I T i2 Ui is either contractible or empty, then N(U) is homtopically equivalent to X. 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

Slide 8

Slide 8 text

No content

Slide 9

Slide 9 text

No content

Slide 10

Slide 10 text

No content

Slide 11

Slide 11 text

Functor Adjuction Limit Colimit

Slide 12

Slide 12 text

Functor: A function between domains of discourse

Slide 13

Slide 13 text

Adjunction: A near equivalence between domains of discourse

Slide 14

Slide 14 text

Limit: A solution to a system of constraints

Slide 15

Slide 15 text

Colimit: Gluing together a system of objects

Slide 16

Slide 16 text

Dimension Reduction

Slide 17

Slide 17 text

No content

Slide 18

Slide 18 text

If the data is uniformly distributed on the manifold then the cover will be “good”

Slide 19

Slide 19 text

No content

Slide 20

Slide 20 text

When is data that nicely behaved?

Slide 21

Slide 21 text

Assumption: Data is uniformly distributed on the manifold

Slide 22

Slide 22 text

Define a Riemannian metric on the manifold to make this assumption true

Slide 23

Slide 23 text

No content

Slide 24

Slide 24 text

Assumption: The manifold is locally connected

Slide 25

Slide 25 text

No content

Slide 26

Slide 26 text

But our local metrics are all incompatible!

Slide 27

Slide 27 text

No content

Slide 28

Slide 28 text

Glue things together with colimits?

Slide 29

Slide 29 text

Theorem 2 (UMAP Adjunction). The functors FinReal : sFuzz ! FinEPMet and FinSing : FinEPMet ! sFuzz form an adjunction FinReal a FinSing. 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 AAADhnicfVLbbtNAEF3XQIO5pfDIy4oEiafITihp+5QKqHiJCDRpK8VRtF6P46X22tpdt6SWH4Cv5CP4B9bOhYTbSJbGZ+bsXM54acSksu3vxo556/ad3dpd6979Bw8f1fcen8kkExRGNIkSceERCRHjMFJMRXCRCiCxF8G5d/m6jJ9fgZAs4UM1T2ESkxlnAaNEaWha/+FKUDTJuAKRqxASAXGRO4XlejBjfA2NR/3jAT72P2WclsyJhYch4KD8TYTETfeE8Y9AInyE3Zio0AtyeZLd3BTYVcka0klvB31QRRNbhPsL2injsw3aOmeLuXhM04JExJhwTNa9bBR3fSLDK7x6tdmyXOD+eoppvWG3nPbhS6eNtXNgdw5Lp+N0uu197LTsyhpoaYPpnvHF9ROaxcAVjYiUY8dO1SQnQjEagV5TJiEl9JLMYKxdTmKQk7zSpcDPNeJj3bD+uMIVusnISSzlPPZ0Zjml/D1Wgn+LjTMVHExyxtNMAaeLQkEWYb2vUmTsMwFURXPtECqY7hXTkAhCtcp/VFFhrOfgcL3c0q8zGC4dqzySCPhMhbmr4LO6Zr7uLH9Fy9gb0JsR0Nddvk9BEH0P+UqQIq/0k5WqFfAfQqnYFqECStFWyuB/O2ftlqMl/dBu9IZL+WroKXqGXiAHdVEPvUMDNELUODXmxlfjm1kzW+a+2V2k7hhLzhO0ZWbvJ8jSKCc=

Slide 30

Slide 30 text

No content

Slide 31

Slide 31 text

Suppose we were given a low dimensional representation

Slide 32

Slide 32 text

We can apply the same process to get a probabilistic graph!

Slide 33

Slide 33 text

X a2A µ(a) log ✓ µ(a) ⌫(a) ◆ + (1 µ(a)) log ✓ 1 µ(a) 1 ⌫(a) ◆ 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

Slide 34

Slide 34 text

X a2A µ(a) log ✓ µ(a) ⌫(a) ◆ + (1 µ(a)) log ✓ 1 µ(a) 1 ⌫(a) ◆ 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 Get the clumps right Get the gaps right

Slide 35

Slide 35 text

UMAP on MNIST digits

Slide 36

Slide 36 text

UMAP on Fashion MNIST

Slide 37

Slide 37 text

UMAP on Kuzushiji-MNIST

Slide 38

Slide 38 text

Derived from Adam Bielski’s Siamese/Triplet repository: https://github.com/adambielski/siamese-triplet Metric Learning

Slide 39

Slide 39 text

No content

Slide 40

Slide 40 text

Word Embeddings

Slide 41

Slide 41 text

You shall know a word by the company it keeps — John Rupert Firth

Slide 42

Slide 42 text

Represent a word as a multinomial distribution of words that co-occur with it

Slide 43

Slide 43 text

A very large and very sparse matrix

Slide 44

Slide 44 text

Find the manifold on which the words lie

Slide 45

Slide 45 text

Assumptions: Uniform distribution Locally connected

Slide 46

Slide 46 text

No content

Slide 47

Slide 47 text

No content

Slide 48

Slide 48 text

No content

Slide 49

Slide 49 text

Use the correct metric for multinomial parameter space

Slide 50

Slide 50 text

Example embedding of Yelp reviews

Slide 51

Slide 51 text

Clustering

Slide 52

Slide 52 text

What do we mean by a cluster?

Slide 53

Slide 53 text

A cluster is …

Slide 54

Slide 54 text

A connected component of a level set of the probability density function of the underlying (and unknown) distribution from which our data samples are drawn.

Slide 55

Slide 55 text

No content

Slide 56

Slide 56 text

No content

Slide 57

Slide 57 text

No content

Slide 58

Slide 58 text

No content

Slide 59

Slide 59 text

No content

Slide 60

Slide 60 text

How do we compute that without knowing the PDF?

Slide 61

Slide 61 text

No content

Slide 62

Slide 62 text

Assumption: Data is distributed on the manifold according to some PDF

Slide 63

Slide 63 text

Choose a Riemannian metric that preserves the distribution

Slide 64

Slide 64 text

But our local metrics may be incompatible…

Slide 65

Slide 65 text

Solve the system of constraints using limits?

Slide 66

Slide 66 text

Theorem 2 (UMAP Adjunction). The functors FinReal : sFuzz ! FinEPMet and FinSing : FinEPMet ! sFuzz form an adjunction FinReal a FinSing. 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 AAADhnicfVLbbtNAEF3XQIO5pfDIy4oEiafITihp+5QKqHiJCDRpK8VRtF6P46X22tpdt6SWH4Cv5CP4B9bOhYTbSJbGZ+bsXM54acSksu3vxo556/ad3dpd6979Bw8f1fcen8kkExRGNIkSceERCRHjMFJMRXCRCiCxF8G5d/m6jJ9fgZAs4UM1T2ESkxlnAaNEaWha/+FKUDTJuAKRqxASAXGRO4XlejBjfA2NR/3jAT72P2WclsyJhYch4KD8TYTETfeE8Y9AInyE3Zio0AtyeZLd3BTYVcka0klvB31QRRNbhPsL2injsw3aOmeLuXhM04JExJhwTNa9bBR3fSLDK7x6tdmyXOD+eoppvWG3nPbhS6eNtXNgdw5Lp+N0uu197LTsyhpoaYPpnvHF9ROaxcAVjYiUY8dO1SQnQjEagV5TJiEl9JLMYKxdTmKQk7zSpcDPNeJj3bD+uMIVusnISSzlPPZ0Zjml/D1Wgn+LjTMVHExyxtNMAaeLQkEWYb2vUmTsMwFURXPtECqY7hXTkAhCtcp/VFFhrOfgcL3c0q8zGC4dqzySCPhMhbmr4LO6Zr7uLH9Fy9gb0JsR0Nddvk9BEH0P+UqQIq/0k5WqFfAfQqnYFqECStFWyuB/O2ftlqMl/dBu9IZL+WroKXqGXiAHdVEPvUMDNELUODXmxlfjm1kzW+a+2V2k7hhLzhO0ZWbvJ8jSKCc= AAADhnicfVLbbtNAEF3XQIO5pfDIy4oEiafITihp+5QKqHiJCDRpK8VRtF6P46X22tpdt6SWH4Cv5CP4B9bOhYTbSJbGZ+bsXM54acSksu3vxo556/ad3dpd6979Bw8f1fcen8kkExRGNIkSceERCRHjMFJMRXCRCiCxF8G5d/m6jJ9fgZAs4UM1T2ESkxlnAaNEaWha/+FKUDTJuAKRqxASAXGRO4XlejBjfA2NR/3jAT72P2WclsyJhYch4KD8TYTETfeE8Y9AInyE3Zio0AtyeZLd3BTYVcka0klvB31QRRNbhPsL2injsw3aOmeLuXhM04JExJhwTNa9bBR3fSLDK7x6tdmyXOD+eoppvWG3nPbhS6eNtXNgdw5Lp+N0uu197LTsyhpoaYPpnvHF9ROaxcAVjYiUY8dO1SQnQjEagV5TJiEl9JLMYKxdTmKQk7zSpcDPNeJj3bD+uMIVusnISSzlPPZ0Zjml/D1Wgn+LjTMVHExyxtNMAaeLQkEWYb2vUmTsMwFURXPtECqY7hXTkAhCtcp/VFFhrOfgcL3c0q8zGC4dqzySCPhMhbmr4LO6Zr7uLH9Fy9gb0JsR0Nddvk9BEH0P+UqQIq/0k5WqFfAfQqnYFqECStFWyuB/O2ftlqMl/dBu9IZL+WroKXqGXiAHdVEPvUMDNELUODXmxlfjm1kzW+a+2V2k7hhLzhO0ZWbvJ8jSKCc=

Slide 67

Slide 67 text

No content

Slide 68

Slide 68 text

We have captured the topology of the PDF

Slide 69

Slide 69 text

The connected components functor p0 produces a fuzzy set of connected components π0

Slide 70

Slide 70 text

Exclude components below a threshold cluster size and sort points by component membership

Slide 71

Slide 71 text

No content

Slide 72

Slide 72 text

No content

Slide 73

Slide 73 text

No content

Slide 74

Slide 74 text

No content

Slide 75

Slide 75 text

Conclusions

Slide 76

Slide 76 text

Topology and category theory provide a different language to frame problems

Slide 77

Slide 77 text

Topological techniques can provide powerful solutions

Slide 78

Slide 78 text

Hopefully I have motivated you to learn more! [email protected] @leland_mcinnes