👂 🎴 🕸️
Imagine
you
have
a
big
collection
of
music
tracks
from
various
genres
''
but
you
don
’
t
know
the
genre
of
each
track
.
Using
unsupervised
learning
''
like
a
clustering
algorithm
''
you
could
group
these
tracks
based
on
their
similarities
—
such
as
tempo
''
rhythm
''
and
melody
—
without
telling
the
algorithm
what
the
genres
are
.
The
result
might
be
clusters
of
songs
that
are
similar
''
and
when
you
check
the
groups
''
you
find
that
most
of
them
correspond
to
genres
like
rock
''
jazz
''
or
classical
.
The
algorithm
discovers
these
patterns
or
categories
on
its
own
''
without
any
prior
labels
or
supervision
.<
p
class
=
„
fragment
“
>
Can
You
think
of
other
examples
of
unsupervised
learning
and
/
or
clustering
?
p
>
Clustering
is
a
machine
learning
technique
used
to
group
a
set
of
data
points
into
clusters
based
on
their
similarity
.
It
is
an
unsupervised
learning
method
''
meaning
that
the
data
does
not
have
predefined
labels
.
The
goal
of
clustering
is
to
organize
data
so
that
items
within
the
same
cluster
are
more
similar
to
each
other
than
to
those
in
other
clusters
.
Common
algorithms
include
k
-
means
''
hierarchical
clustering
''
and
DBSCAN
.
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