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### #ActualAngleWyrm

Posted 04 August 2013 - 03:17 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure of rotating the coordinate system to coincide with the length and density of the data.

The axes of the resulting new coordinate system represent recognition of measured as-yet unnamed features of that data.

### #6AngleWyrm

Posted 04 August 2013 - 03:17 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure of rotating the coordinate system to coincide with the length and density of the data.

The axes of the resulting new coordinate system represent recognition of measurable as-yet unnamed features of that data.

### #5AngleWyrm

Posted 04 August 2013 - 03:15 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure of rotating the coordinate system to coincide with the length and density of the data.

The axes of the resulting new coordinate system represent recognition of measurable as-yet unnamed features of that data.

### #4AngleWyrm

Posted 04 August 2013 - 03:14 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure of rotating the coordinate system to coincide with the length and density of the data.

The axes of the resulting new coordinate system represent recognition of measurable as-yet unnamed features of that data.

### #3AngleWyrm

Posted 04 August 2013 - 03:12 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure of rotating the coordinate system to coincide with the length and density of the data.

### #2AngleWyrm

Posted 04 August 2013 - 03:09 PM

storing [the data stream] in a way [to] tell me how predictable it was.

Principal Componant Analysis is the process of examining a set of data, and determining what are the most salient features of that data. And it's an algorithm, an automatic procedure, a math formula. None of that "creative insight" type of stuff.

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