1. 常规降维 reduceDimension(cds, max_components=, reduction_method=, num_dim=, norm_method=) max_components=: 降维后数据的维度;默认值为2 reduction_method=: 降维方式;DDRTree/ICA/tSNE;默认值为DDRTree num_dim=:PC number(1:~)used for further dimension-reduction norm_method=: 指定归一化数据的...
variance = NaN(7);forlevel = 1:7 pr = reduceDimensions(ps,level); pr.Skip = (level-1)*1024; pts = pr(1:1024,:); variance(level,1:level) = var(pts);end Plot the variances. The dark blue bars show the variance of the points in the first dimension, the dark orange bars show...
An effective algorithm based on genetic algorithm is proposed for discovering the best feature combinations using feature reduction and recognition error rate as performance measure. Experimentation is carried out using QSDAS corpora. The results of experiments indicate that, with the optimized feature ...
DimensionReduce[examples,n] 投影到n维空间中的近似流形. 更多信息和选项 范例 基本范例(2) 对向量降维: In[1]:= In[2]:= Out[2]= 指定目标维度为 1: In[3]:= Out[3]= 对混合类型数据集降维: In[1]:= Out[1]= 范围(6) 选项(6)
The dimensions to use for the exported image. Takes either a single positive integer as the maximum dimension or "WIDTHxHEIGHT" where WIDTH and HEIGHT are each positive integers. region (Geometry.LinearRing|Geometry.Polygon|String, optional): ...
axesThe axes to reduce, represented as a bitmask. For example, whenaxes=6, dims 1 and 2 are reduced. keep_dimsControls whether to preserve the original rank by keeping the reduced dimensions (with a dimension of 1), or to reduce the tensor’s rank. ...
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(2013). Dimension independent matrix square using mapreduce. Preprint arXiv:1304.1467.Reza Bosagh Zadeh and Gunnar Carlsson. Dimension independent matrix square using mapreduce. In Foundations of Computer Science (FOCS 2013) - Poster, 2013.
数据集市中主要存在的是事实表(fact)和维度表(dimension)。 事实表中存放着业务的详细数据,例如订单、销售等业务数据。 维度表是围绕事实表建立的,存放着一些维度属性,定义了可以从哪些角度分析事实表,例如时间、地域、操作系统等维度。 数据集市中的数据结构一般有星型结构(star)和雪花结构(snow)。
Clustering plays a fundamental task in the process of data mining, which remains more demanding due to the ever-increasing dimension of accessible datasets... G Shanmugam,T Thanarajan,SMSS Rajendran - 《Journal of Intelligent & Fuzzy Systems Applications in Engineering & Technology》 被引量: 0发表...