vq k means
Provides routines for k-means clustering, generating code books from ... vq (obs, code_book[, check_finite]), Assign codes from a code book to observations. , The k-means algorithm takes as input the number of clusters to generate, k, and a set of observation vectors to cluster. It returns a set of ...
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 vq k means 相關參考資料
scipy.cluster.vq.kmeans - Numpy and Scipy Documentation - SciPy.org
scipy.cluster.vq. kmeans (obs, k_or_guess, iter=20, thresh=1e-05, ... Performs k-means on a set of observation vectors forming k clusters. The k-means algorithm ... https://docs.scipy.org K-means clustering and vector quantization (scipy.cluster ... - SciPy.org
Provides routines for k-means clustering, generating code books from ... vq (obs, code_book[, check_finite]), Assign codes from a code book to observations. https://docs.scipy.org K-means clustering and vector quantization (scipy.cluster.vq) — SciPy ...
The k-means algorithm takes as input the number of clusters to generate, k, and a set of observation vectors to cluster. It returns a set of ... https://docs.scipy.org K-means clustering and vector quantization (scipy.cluster.vq) - SciPy.org
Provides routines for k-means clustering, generating code books from ... vq(obs, code_book[, check_finite]), Assign codes from a code book to ... https://docs.scipy.org scipy.cluster.vq.kmeans2 — SciPy v1.2.1 Reference Guide
scipy.cluster.vq. kmeans2 (data, k, iter=10, thresh=1e-05, minit='random', ... Classify a set of observations into k clusters using the k-means algorithm. https://docs.scipy.org 3-3 K-means 分群法 - MIRLab
在所有的分割式分群法之中，最基本的方法，就是所謂的K-means 分群 .... k-means 分群法是屬於「向量量化」（Vector Quantization，簡稱VQ）的一個基本方法，所以 ... http://mirlab.org |