July 2020
Beginner to intermediate
444 pages
10h 50m
Korean
Content preview from 핸즈온 비지도 학습
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
423
13
장
시계열 클러스터링
hdbscanTime = timer.elapsed_time()
HBDSCAN
은
85
개의 모든 데이터셋에서 실험을 실행하는 데
10
분 미만이 소요됩니다.
13.7.4
모든 시계열 클러스터링 접근 방법 비교
이제 세 클러스터링 알고리즘을 모두 비교해볼 수 있습니다. 한 가지 방법으로는 각 클러스터
링 알고리즘에 대해 각각 훈련 및 테스트셋에서 평균 수정된
Rand
지수를 계산하는 겁니다.
다음은 각 알고리즘의 평가 점수입니다.
k-Shape Results
Train ARS 0.165139
Test ARS 0.151103
k-Means Results
Train ARS 0.184789
Test ARS 0.178960
HDBSCAN Results
Train ARS 0.178754
Test ARS 0.158238
결과는
k
-평균이
Rand
지수가 가장 높고,
k
-
shape
과
HDBSCAN
이 그 뒤를 이었습니다.
이 결과를 검증 (완벽한 검증보다는 부분적인 검증 )하기 위해 각 알고리즘이
85
개의 모든 데이
터셋에서
1
위,
2
위,
3
위를 차지한 횟수를 계산하겠습니다.
# 세 알고리즘별 상위 순위를 차지한 횟수 계산하기
timeSeriesClusteringDF = pd.DataFrame(data=[], index=kShapeDF.index,
columns ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.