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author | Xiangrui Meng <meng@apache.org> | 2016-01-06 06:27:47 +0000 |
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committer | Xiangrui Meng <meng@apache.org> | 2016-01-06 06:27:47 +0000 |
commit | e40429c0bc9ee74121a6327be9b2fba3abd1ec43 (patch) | |
tree | 56b65ff284f4486e48bc4a722e786d6476a83b19 | |
parent | f0221908944551e160f9a594df535bc625ec8648 (diff) | |
download | spark-website-e40429c0bc9ee74121a6327be9b2fba3abd1ec43.tar.gz spark-website-e40429c0bc9ee74121a6327be9b2fba3abd1ec43.tar.bz2 spark-website-e40429c0bc9ee74121a6327be9b2fba3abd1ec43.zip |
list bisecting k-means and AFT regression on mllib page
-rw-r--r-- | mllib/index.md | 3 | ||||
-rw-r--r-- | site/mllib/index.html | 3 | ||||
-rw-r--r-- | site/news/index.html | 4 |
3 files changed, 6 insertions, 4 deletions
diff --git a/mllib/index.md b/mllib/index.md index 7eebb8173..5d3267356 100644 --- a/mllib/index.md +++ b/mllib/index.md @@ -90,8 +90,9 @@ subproject: MLlib <li>classification and regression tree</li> <li>random forest and gradient-boosted trees</li> <li>recommendation via alternating least squares (ALS)</li> - <li>clustering via k-means, Gaussian mixtures (GMM), and power iteration clustering</li> + <li>clustering via k-means, bisecting k-means, Gaussian mixtures (GMM), and power iteration clustering</li> <li>topic modeling via latent Dirichlet allocation (LDA)</li> + <li>survival analysis via accelerated failure time model</li> <li>singular value decomposition (SVD) and QR decomposition</li> <li>principal component analysis (PCA)</li> <li>linear regression with L<sub>1</sub>, L<sub>2</sub>, and elastic-net regularization</li> diff --git a/site/mllib/index.html b/site/mllib/index.html index 592dff2a7..862471440 100644 --- a/site/mllib/index.html +++ b/site/mllib/index.html @@ -257,8 +257,9 @@ <li>classification and regression tree</li> <li>random forest and gradient-boosted trees</li> <li>recommendation via alternating least squares (ALS)</li> - <li>clustering via k-means, Gaussian mixtures (GMM), and power iteration clustering</li> + <li>clustering via k-means, bisecting k-means, Gaussian mixtures (GMM), and power iteration clustering</li> <li>topic modeling via latent Dirichlet allocation (LDA)</li> + <li>survival analysis via accelerated failure time model</li> <li>singular value decomposition (SVD) and QR decomposition</li> <li>principal component analysis (PCA)</li> <li>linear regression with L<sub>1</sub>, L<sub>2</sub>, and elastic-net regularization</li> diff --git a/site/news/index.html b/site/news/index.html index 5bb148f6c..94ecc286c 100644 --- a/site/news/index.html +++ b/site/news/index.html @@ -275,7 +275,7 @@ With this release the Spark community continues to grow, with contributions from <article class="hentry"> <header class="entry-header"> <h3 class="entry-title"><a href="/news/one-month-to-spark-summit-2015.html">One month to Spark Summit 2015 in San Francisco</a></h3> - <div class="entry-date">May 15, 2015</div> + <div class="entry-date">May 16, 2015</div> </header> <div class="entry-content"><p>There is one month left until <a href="https://spark-summit.org/2015/">Spark Summit 2015</a>, which will be held in San Francisco on June 15th to 17th. @@ -287,7 +287,7 @@ The Summit will contain <a href="https://spark-summit.org/2015/schedule/">presen <article class="hentry"> <header class="entry-header"> <h3 class="entry-title"><a href="/news/spark-summit-europe.html">Announcing Spark Summit Europe</a></h3> - <div class="entry-date">May 15, 2015</div> + <div class="entry-date">May 16, 2015</div> </header> <div class="entry-content"><p>Abstract submissions are now open for the first ever <a href="https://www.prevalentdesignevents.com/sparksummit2015/europe/speaker/">Spark Summit Europe</a>. The event will take place on October 27th to 29th in Amsterdam. Submissions are welcome across a variety of Spark related topics, including use cases and ongoing development.</p> |